Atılım Güneş Baydin : Publications
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@article{himes-2023-3dretrieval,
title = "Toward 3D Retrieval of Exoplanet Atmospheres: Assessing Thermochemical Equilibrium Estimation Methods",
author = "Michael D. Himes and Josepth Harrington and Atılım Güneş Baydin",
year = "2023",
journal = "The Planetary Science Journal",
number = "74",
publisher = "American Astronomical Society",
url = "https://doi.org/10.3847/PSJ/acc939",
volume = "4",
doi = "10.3847/PSJ/acc939",
}
@article{dorigo-2023-differentiable,
title = "Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming",
author = "Tommaso Dorigo and Andrea Giammanco and Pietro Vischia and Max Aehle and Mateusz Bawaj and Alexey Boldyrev and Pablo {de Castro Manzano} and Denis Derkach and Julien Donini and Auralee Edelen and Federica Fanzago and Nicolas R. Gauger and Christian Glaser and {Atılım Güneş} Baydin and Lukas Heinrich and Ralf Keidel and Jan Kieseler and Claudius Krause and Maxime Lagrange and Max Lamparth and Lukas Layer and Gernot Maier and Federico Nardi and Helge E.S. Pettersen and Alberto Ramos and Fedor Ratnikov and Dieter Röhrich and Roberto Ruiz {de Austri} and Pablo Martínez Ruiz {del Árbol} and Oleg Savchenko and Nathan Simpson and Giles C. Strong and Angela Taliercio and Mia Tosi and Andrey Ustyuzhanin and Haitham Zaraket",
year = "2023",
issn = "2405-4283",
journal = "Reviews in Physics",
pages = "100085",
url = "https://doi.org/10.1016/j.revip.2023.100085",
doi = "10.1016/j.revip.2023.100085",
}
@inproceedings{mateogarcia-2023-onboardcloud,
title = "Onboard cloud detection and atmospheric correction with deep learning emulators",
author = "Gonzalo {Mateo-Garcìa} and Cesar Aybar and Vít Růžička and Giacomo Acciarini and Atılım Güneş Baydin and Gabriele Meoni and Nicolas Longépe and James Parr and Luis {Gómez-Chova}",
year = "2023",
booktitle = "International Geoscience and Remote Sensing Symposium, July 16 -- 21, 2023, Pasadena, CA",
url = "https://2023.ieeeigarss.org/",
}
@inproceedings{acciarini-2023-karman,
title = "Karman -- a Machine Learning Software Package for Benchmarking Thermospheric Density Models",
author = "Giacomo Acciarini and Edward Brown and Christopher Bridges and Atılım Güneş Baydin and Thomas E. Berger and Madhulika Guhathakurta",
year = "2023",
booktitle = "Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 19--22 September 2023",
}
@article{salvatelli-2022-synthetic,
title = "Exploring the Limits of Synthetic Creation of Solar {EUV} Images via Image-to-Image Translation",
author = "Valentina Salvatelli and Luiz Fernando {Guedes dos Santos} and Souvik Bose and Brad Neuberg and Mark Cheung and Miho Janvier and Meng Jin and Yarin Gal and Atılım Güneş Baydin",
year = "2022 (to appear)",
journal = "The Astrophysical Journal",
}
@article{lavin-2022-technology,
title = "Technology Readiness Levels for Machine Learning Systems",
author = "Alexander Lavin and Ciaran M. Gilligan-Lee and Alessya Visnjic and Siddha Ganju and Dava Newman and Sujoy Ganguly and Danny Lange and Atılım Güneş Baydin and Amit Sharma and Adam Gibson and Yarin Gal and Eric P. Xing and Chris Mattmann and James Parr",
year = "2022 (to appear)",
journal = "Nature Communications",
publisher = "Nature Publishing Group",
}
@article{salvatelli-2022-synthetic,
title = "Exploring the Limits of Synthetic Creation of Solar {EUV} Images via Image-to-Image Translation",
author = "Valentina Salvatelli and Luiz Fernando {Guedes dos Santos} and Souvik Bose and Brad Neuberg and Mark Cheung and Miho Janvier and Meng Jin and Yarin Gal and Atılım Güneş Baydin",
year = "2022",
journal = "The Astrophysical Journal",
number = "2",
url = "https://doi.org/10.3847/1538-4357/ac867b",
volume = "937",
doi = "10.3847/1538-4357/ac867b",
}
@article{lavin-2022-technology,
title = "Technology Readiness Levels for Machine Learning Systems",
author = "Alexander Lavin and Ciaran M. Gilligan-Lee and Alessya Visnjic and Siddha Ganju and Dava Newman and Sujoy Ganguly and Danny Lange and Atılım Güneş Baydin and Amit Sharma and Adam Gibson and Stephan Zheng and Yarin Gal and Eric P. Xing and Chris Mattmann and James Parr",
year = "2022",
journal = "Nature Communications",
number = "6039",
publisher = "Nature Publishing Group",
url = "https://doi.org/10.1038/s41467-022-33128-9",
volume = "13",
doi = "10.1038/s41467-022-33128-9",
}
@article{himes-2022-margehomer,
title = "Accurate Machine-learning Atmospheric Retrieval via a Neural-network Surrogate Model for Radiative Transfer",
author = "Michael D. Himes and Joseph Harrington and Adam D. Cobb and {Atılım Güneş} Baydin and Frank Soboczenski and Molly D. {O'Beirne} and Simone Zorzan and David C. Wright and Zacchaeus Scheffer and Shawn D. {Domagal-Goldman} and Giada N. Arney",
year = "2022",
journal = "The Planetary Science Journal",
number = "4",
pages = "236--250",
publisher = "American Astronomical Society",
url = "https://doi.org/10.3847/PSJ/abe3fd",
volume = "3",
doi = "10.3847/PSJ/abe3fd",
}
@inproceedings{gebhard-2022-molecular,
title = "Inferring molecular complexity from mass spectrometry data using machine learning",
author = "Timothy D. Gebhard and Aaron Bell and Jian Gong and Jaden J.A. Hastings and George M. Fricke and Nathalie Cabrol and Scott Sandford and Michael Phillips and Kimberley Warren-Rhodes and {Atılım Güneş} Baydin",
year = "2022",
booktitle = "Machine Learning and the Physical Sciences workshop, NeurIPS 2022",
}
@inproceedings{hastings-2022-molecular,
title = "Modeling Molecular Complexity: Building a Novel Multidisciplinary Machine Learning Framework to Understand Molecular Synthesis and Signatures",
author = "Jaden J.A. Hastings and Aaron C. Bell and Timothy Gebhard and Jian Gong and Atılım Güneş Baydin and Matthew Fricke and Massimo Mascaro and Michael Phillips and Kimberly Warren-Rhodes and Nathalie A. Cabrol",
year = "2022",
booktitle = "American Geophysical Union (AGU) Fall Meeting, December 12--16, 2022",
url = "https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1200601",
}
@inproceedings{gong-2022-molecular,
title = "Molecular Complexity to Biosignatures: A Machine Learning Pipeline that Connects Mass Spectrometry to Molecular Synthesis and Reaction Networks",
author = "Jian Gong and Aaron C. Bell and Timothy Gebhard and Jaden J.A. Hastings and Atılım Güneş Baydin and Kimberly Warren-Rhodes and Michael Phillips and Matthew Fricke and Nathalie A. Cabrol and Scott A. Sandford and Massimo Mascaro",
year = "2022",
booktitle = "American Geophysical Union (AGU) Fall Meeting, December 12--16, 2022",
url = "https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1186669",
}
@inproceedings{mehta-2022-simulation,
title = "Simulating Social Networks and Disinformation",
author = "Swapneel Mehta and Bogdan State and Richard Bonneau and Jonathan Nagler and Philip Torr and Atılım Güneş Baydin",
year = "2022",
booktitle = "Misinformation Village co-hosted by {MisinfoCon}, {DEFCON} 30, August 12--13, Las Vegas, NV, USA",
url = "https://defcon.misinfocon.com/",
}
@inproceedings{acciarini-2022-observation,
title = "Observation Strategies and Megaconstellations Impact on Current LEO Population",
author = "Giacomo Acciarini and Nicola Baresi and Christopher Bridges and Leonard Felicetti and Stephen Hobbs and Atılım Güneş Baydin",
year = "2022",
booktitle = "2nd {ESA} Near-Earth Object and Debris Detection Conference, 24--26 January 2023",
}
@inproceedings{mehta-2022-inauthentic,
title = "Estimating the Impact of Coordinated Inauthentic Behavior on Content Recommendations in Social Networks",
author = "Swapneel Mehta and Bogdan State and Richard Bonneau and Jonathan Nagler and Philip Torr and {Atılım Güneş} Baydin",
year = "2022",
booktitle = "AI for Agent-Based Modelling Workshop (AI4ABM) at the International Conference on Machine Learning (ICML) 2022",
}
@inproceedings{naderiparizi-2022-amortized,
title = "Amortized Rejection Sampling in Universal Probabilistic Programming",
author = "Naderiparizi, Saeid and {\'S}cibior, Adam and Munk, Andreas and Ghadiri, Mehrdad and Baydin, At{\i}l{\i}m G{\"u}ne{\c{s}} and Gram-Hansen, Bradley and de Witt, Christian Schroeder and Zinkov, Robert and Torr, Philip H.S. and Rainforth, Tom and Teh, Yee Whye and Wood, Frank",
year = "2022",
booktitle = "Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS)",
}
@inproceedings{nguyen-2022-kl,
title = "{KL} Guided Domain Adaptation",
author = "Tuan Nguyen and Toan Tran and Yarin Gal and Philip H.S. Torr and Atılım Güneş Baydin",
year = "2022",
booktitle = "Tenth International Conference on Learning Representations (ICLR)",
}
@inproceedings{harvey-2022-attention,
title = "Attention for Inference Compilation",
author = "Harvey, William and Munk, Andreas and Bergholm, Alexander and Baydin, Atılım Güneş and Wood, Frank",
year = "2022",
booktitle = "12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH)",
}
@inproceedings{munk-2022-probabilistic,
title = "Probabilistic Surrogate Networks for Simulators with Unbounded Randomness",
author = "Munk, Andreas and Zwartsenberg, Berend and Ścibior, Adam and Baydin, Atılım Güneş and Stewart, Andrew and Fernlund, Goran and Poursartip, Anoush and Wood, Frank",
year = "2022",
booktitle = "38th Conference on Uncertainty in Artificial Intelligence (UAI)",
}
@article{szenicer-2021-seismic,
title = "Seismic savanna: Machine learning for classifying wildlife and behaviours using ground-based vibration field recordings",
author = "Alexandre Szenicer and Michael Reinwald and Ben Moseley and Tarje {Nissen-Meyer} and Zacharia Mutinda Muteti and Sandy Oduor and Alex {McDermott-Roberts} and Atılım Güneş Baydin and Beth Mortimer",
year = "2021",
journal = "Remote Sensing in Ecology and Conservation",
number = "2",
pages = "236--250",
publisher = "John Wiley & Sons and Zoological Society of London",
url = "https://doi.org/10.1002/rse2.242",
volume = "8",
doi = "10.1002/rse2.242",
}
@article{dossantos-2021-multi,
title = "Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning",
author = "Luiz Fernando {Guedes dos Santos} and Souvik Bose and Valentina Salvatelli and Brad Neuberg and Mark Cheung and Miho Janvier and Meng Jin and Yarin Gal and Paul Boerner and Atılım Güneş Baydin",
year = "2021",
journal = "Astronomy \& Astrophysics",
pages = "A53",
url = "https://doi.org/10.1051/0004-6361/202040051",
volume = "648",
doi = "10.1051/0004-6361/202040051",
}
@article{baydin-2021-experimental,
title = "Toward Machine Learning Optimization of Experimental Design",
author = "Atılım Güneş Baydin and Kyle Cranmer and Pablo {de Castro Manzano} and Christophe Delaere and Denis Derkach and Julien Donini and Tommaso Dorigo and Andrea Giammanco and Jan Kieseler and Lukas Layer and Gilles Louppe and Fedor Ratnikov and Giles C. Strong and Mia Tosi and Andrey Ustyuzhanin and Pietro Vischia and Hevjin Yarar",
year = "2021",
journal = "Nuclear Physics News",
number = "1",
pages = "25--28",
publisher = "Taylor \& Francis",
url = "https://doi.org/10.1080/10619127.2021.1881364",
volume = "31",
doi = "10.1080/10619127.2021.1881364",
}
@article{mateogarcia-2021-global,
title = "Towards Global Flood Mapping Onboard Low Cost Satellites with Machine Learning",
author = "Gonzalo Mateo-Garcia and Joshua Veitch-Michaelis and Lewis Smith and Silviu Oprea and Guy Schumann and Yarin Gal and Atılım Güneş Baydin and Dietmar Backes",
year = "2021",
journal = "Scientific Reports",
number = "7249",
publisher = "Nature Publishing Group",
url = "https://doi.org/10.1038/s41598-021-86650-z",
volume = "11",
doi = "10.1038/s41598-021-86650-z",
}
@inproceedings{gambardella-2021-detecting,
title = "Detecting and Quantifying Malicious Activity with Simulation-based Inference",
author = "Andrew Gambardella and Bogdan State and Naeemullah Khan and Kleovoulos Tsourides and Philip Torr and Atılım Güneş Baydin",
year = "2021",
booktitle = "{ICML} Workshop on Socially Responsible Machine Learning",
}
@inproceedings{benson-2021-simultaneous,
title = "Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles",
author = "Bernard Benson and Edward Brown and Stefano Bonasera and Giacomo Acciarini and Jorge A. {Pérez-Hernández} and Eric Sutton and Moriba K. Jah and Christopher Bridges and Meng Jin and {Atılım Güneş} Baydin",
year = "2021",
booktitle = "Fourth Workshop on Machine Learning and the Physical Sciences ({NeurIPS} 2021)",
}
@inproceedings{brown-2021-learning,
title = "Learning the solar latent space: sigma-variational autoencoders for multiple channel solar imaging",
author = "Edward Brown and Stefano Bonasera and Bernard Benson and Jorge A. {Pérez-Hernández} and Giacomo Acciarini and {Atılım Güneş} Baydin and Christopher Bridges and Meng Jin and Eric Sutton and Moriba K. Jah",
year = "2021",
booktitle = "Fourth Workshop on Machine Learning and the Physical Sciences ({NeurIPS} 2021)",
}
@inproceedings{bonasera-2021-ensemble,
title = "Dropout and Ensemble Networks for Thermospheric Density Uncertainty Estimation",
author = "Stefano Bonasera and Giacomo Acciarini and Jorge A. {Pérez-Hernández} and Bernard Benson and Edward Brown and Eric Sutton and Moriba K. Jah and Christopher Bridges and {Atılım Güneş} Baydin",
year = "2021",
booktitle = "Bayesian Deep Learning workshop, {NeurIPS} 2021",
}
@inproceedings{himes-2021-surrogate,
title = "Neural Network Surrogate Models for Fast Bayesian Inference: Application to Exoplanet Atmospheric Retrieval",
author = "Michael D. Himes and Joseph Harrington and Adam D. Cobb and Frank Soboczenski and Molly D. O'Beirne and Simone Zorzan and David C. Wright and Zacchaeus Scheffer and Shawn D. Domagal-Goldman and Giada N. Arney and Atılım Güneş Baydin",
year = "2021",
booktitle = "Applications of Statistical Methods and Machine Learning in the Space Sciences, 17--21 May 2021",
}
@inproceedings{salvatelli-2021-selfsupervised,
title = "Self-supervised Deep Learning for Reducing Data Transmission Needs in Multi-Wavelength Space Instruments: a case study based on the Solar Dynamics Observatory",
author = "Valentina Salvatelli and Luiz Fernando {Guedes dos Santos} and Mark Cheung and Souvik Bose and Brad Neuberg and Miho Janvier and Meng Jin and Yarin Gal and Atılım Güneş Baydin",
year = "2021",
booktitle = "American Geophysical Union (AGU) Fall Meeting, December 13--17, 2021",
url = "https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/984065",
}
@inproceedings{nguyen-2021-domain,
title = "Domain Invariant Representation Learning with Domain Density Transformations",
author = "Tuan Nguyen and Toan Tran and Yarin Gal and Atılım Güneş Baydin",
year = "2021",
booktitle = "Advances in Neural Information Processing Systems 35 (NeurIPS)",
}
@inproceedings{poduval-2021-studying,
title = "Studying Solar Energetic Particles and Their Seed Population Using Surrogate Models",
author = "Bala Poduval and Atılım Güneş Baydin and Nathan Schwadron",
year = "2021",
booktitle = "Machine Learning for Space Sciences workshop, 43rd Committee on Space Research (COSPAR) Scientific Assembly, Sydney, Australia",
}
@inproceedings{acciarini-2020-automated,
title = "Kessler: a Machine Learning Library for Space Collision Avoidance",
author = "Giacomo Acciarini and Francesco Pinto and Sascha Metz and Sarah Boufelja and Sylvester Kaczmarek and Klaus Merz and José A. Martinez-Heras and Francesca Letizia and Christopher Bridges and Atılım Güneş Baydin",
year = "2021",
booktitle = "8th European Conference on Space Debris",
}
@techreport{benson-2021-heliophysics,
title = "Heliophysics -- Solar Drag: Learning how the Sun affects spacecraft orbits",
author = "Bernard Benson and Stefano Bonasera and Edward Brown and Jorge A. {Pérez-Hernández} and Moriba K. Jah and Eric Sutton and Giacomo Acciarini and Christopher P. Bridges and Atılım Güneş Baydin",
year = "2021",
institution = "{NASA} Frontier Development Lab Technical Memorandum",
}
@inproceedings{wright-2020-super1,
title = "Super-resolution of {MDI} (and {GONG}) Magnetograms",
author = "Paul Wright and Xavier Gitiaux and Anna Jungbluth and Shane Maloney and Carl Shneider and Alfredo Kalaitzis and Michel Deudon and Atılım Güneş Baydin and Yarin Gal and Andres Munoz-Jaramillo",
year = "2020",
booktitle = "50th Anniversary Meeting of the Solar Physics Division (SPD) of the American Astronomical Society (AAS)",
url = "https://aas.org/meetings/spd51",
}
@inproceedings{chopra-2020-exoatmosgrid,
title = "{EXO-ATMOS}: A scalable grid of hypothetical planetary atmospheres",
author = "Chopra, Aditya and Bell, Aaron and Fawcett, William and Talebi, Rodd and Angerhausen, Daniel and Baydin, Atılım Güneş and Berea, Anamaria and Cabrol, Nathalie A. and Kempes, Chris and Mascaro, Massimo",
year = "2020",
booktitle = "Europlanet Science Congress 2020",
pages = "EPSC2020-664",
url = "https://meetingorganizer.copernicus.org/EPSC2020/EPSC2020-664.html",
volume = "14",
}
@inproceedings{belavin-2020-blackbox,
title = "Black-Box Optimization with Local Generative Surrogates",
author = "Vladislav Belavin and Sergey Shirobokov and Michael Aaron Kagan and Andrey Ustyuzhanin and Atılım Güneş Baydin",
year = "2020",
booktitle = "4th IML Machine Learning Workshop, 19--22 October 2020, Inter-experimental Machine Learning (IML) Working Group, CERN",
url = "https://indico.cern.ch/event/852553/",
}
@inproceedings{dossantos-2020-multi,
title = "Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly instrument with Deep Learning",
author = "Luiz Fernando {Guedes dos Santos} and Souvik Bose and Valentina Salvatelli and Brad Neuberg and Mark Cheung and Miho Janvier and Meng Jin and Yarin Gal and Paul Boerner and Atılım Güneş Baydin",
year = "2020",
booktitle = "American Geophysical Union (AGU) Fall Meeting, December 1--17, 2020",
url = "https://agu2020fallmeeting-agu.ipostersessions.com/Default.aspx?s=58-34-12-15-E8-F1-7E-63-04-54-FB-78-A5-C9-FF-B4&pdfprint=true&guestview",
}
@inproceedings{wright-2020-super2,
title = "Super-resolution of Solar Magnetograms",
author = "Paul James Wright and Xavier Gitiaux and Anna Jungbluth and Shane Maloney and Carl Shneider and Alfredo Kalaitzis and Atılım Güneş Baydin and Michel Deudon and Yarin Gal and Andres Munoz-Jaramillo",
year = "2020",
booktitle = "American Geophysical Union (AGU) Fall Meeting, December 1--17, 2020",
url = "https://agu.confex.com/agu/fm20/webprogram/Paper707966.html",
}
@inproceedings{baydin-2020-differentiable,
title = "Differentiable Programming in High-Energy Physics",
author = "Atılım Güneş Baydin and Kyle Cranmer and Matthew Feickert and Lindsey Gray and Lukas Heinrich and Alexander Held and Andrew Melo and Mark Neubauer and Jannicke Pearkes and Nathan Simpson and Nick Smith and Giordon Stark and Savannah Thais and Vassil Vassilev and Gordon Watts",
year = "2020",
booktitle = "Snowmass 2021 Letters of Interest (LOI), Division of Particles and Fields (DPF), American Physical Society",
url = "https://snowmass21.org/loi",
}
@inproceedings{acciarini-2020-spacecraft,
title = "Spacecraft Collision Risk Assessment with Probabilistic Programming",
author = "Giacomo Acciarini and Francesco Pinto and Sascha Metz and Sarah Boufelja and Sylvester Kaczmarek and Klaus Merz and José A. Martinez-Heras and Francesca Letizia and Christopher Bridges and Atılım Güneş Baydin",
year = "2020",
booktitle = "Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Vancouver, Canada",
}
@inproceedings{pinto-2020-automated,
title = "Towards Automated Satellite Conjunction Management with Bayesian Deep Learning",
author = "Francesco Pinto and Giacomo Acciarini and Sascha Metz and Sarah Boufelja and Sylvester Kaczmarek and Klaus Merz and José A. Martinez-Heras and Francesca Letizia and Christopher Bridges and Atılım Güneş Baydin",
year = "2020",
booktitle = "AI for Earth Sciences Workshop at NeurIPS 2020, Vancouver, Canada",
}
@inproceedings{shirobokov-2020-blackbox,
title = "Black-Box Optimization with Local Generative Surrogates",
author = "Sergey Shirobokov and Vladislav Belavin and Michael Kagan and Andrey Ustyuzhanin and Atılım Güneş Baydin",
year = "2020",
booktitle = "Advances in Neural Information Processing Systems 34 (NeurIPS)",
}
@inproceedings{harvey-2020-attention,
title = "Attention for Inference Compilation",
author = "Harvey, William and Munk, Andreas and Baydin, Atılım Güneş and Bergholm, Alexander and Wood, Frank",
year = "2020",
booktitle = "International Conference on Probabilistic Programming (PROBPROG 2020), Cambridge, MA, United States",
url = "https://probprog.cc/",
}
@inproceedings{munk-2020-deep,
title = "Deep Probabilistic Surrogate Networks for Universal Simulator Approximation",
author = "Munk, Andreas and Ścibior, Adam and Baydin, Atılım Güneş and Stewart, Andrew and Fernlund, Goran and Poursartip, Anoush and Wood, Frank",
year = "2020",
booktitle = "International Conference on Probabilistic Programming (PROBPROG 2020), Cambridge, MA, United States",
url = "https://probprog.cc/",
}
@inproceedings{naderiparizi-2020-amortized,
title = "Amortized Rejection Sampling in Universal Probabilistic Programming",
author = "Naderiparizi, Saeid and {\'S}cibior, Adam and Munk, Andreas and Ghadiri, Mehrdad and Baydin, At{\i}l{\i}m G{\"u}ne{\c{s}} and Gram-Hansen, Bradley and de Witt, Christian Schroeder and Zinkov, Robert and Torr, Philip H.S. and Rainforth, Tom and Teh, Yee Whye and Wood, Frank",
year = "2020",
booktitle = "International Conference on Probabilistic Programming (PROBPROG 2020), Cambridge, MA, United States",
url = "https://probprog.cc/",
}
@inproceedings{schroederdewitt-2020-simulation,
title = "Simulation-Based Inference for Global Health Decisions",
author = "Christian {Schroeder de Witt} and Bradley Gram-Hansen and Nantas Nardelli and Andrew Gambardella and Rob Zinkov and Puneet Dokania and N. Siddharth and Ana Belen Espinosa-Gonzalez and Ara Darzi and Philip Torr and Atılım Güneş Baydin",
year = "2020",
booktitle = "ICML Workshop on Machine Learning for Global Health, Thirty-seventh International Conference on Machine Learning (ICML 2020)",
}
@inproceedings{himes-2020-machine,
title = "Machine Learning Retrieval of Jovian and Terrestrial Atmospheres",
author = "Michael D. Himes and Adam D. Cobb and Frank Soboczenski and Simone Zorzan and Molly D. O’Beirne and Atılım Güneş Baydin and Yarin Gal and Daniel Angerhausen and Shawn D. Domagal-Goldman and Giada N. Arney",
year = "2020",
booktitle = "American Astronomical Society meeting \#235, id. 343.01. Bulletin of the American Astronomical Society, Vol. 52, No. 1",
url = "https://ui.adsabs.harvard.edu/abs/2020AAS...23534301H/abstract",
}
@inproceedings{shirobokov-2020-differentiating,
title = "Differentiating the Black-Box: Optimization with Local Generative Surrogates",
author = "Sergey Shirobokov and Vladislav Belavin and Michael Kagan and Andrey Ustyuzhanin and Atılım Güneş Baydin",
year = "2020",
booktitle = "Applied Machine Learning Days (AMLD) EPFL, Lausanne, Switzerland, January 25--29, 2020",
}
@inproceedings{soboczenski-2020-inara,
title = "{INARA}: A {Bayesian} Deep Learning Framework for Exoplanet Atmospheric Retrieval",
author = "Frank Soboczenski and Michael D. Himes and Molly D. O’Beirne and Simone Zorzan and Atılım Güneş Baydin and Adam D. Cobb and Yarin Gal and Daniel Angerhausen and Massimo Mascaro and Geronimo Villanueva and Shawn D. Domagal-Goldman and Giada N. Arney",
year = "2020",
booktitle = "Second AI and Data Science Workshop for Earth and Space Sciences, Jet Propulsion Laboratory (NASA JPL), Pasadena, CA, United States, March 24--26, 2020",
url = "https://datascience.jpl.nasa.gov/aiworkshop",
}
@inproceedings{behl-2020-autosimulate,
title = "AutoSimulate: (Quickly) Learning Synthetic Data Generation",
author = "Harkirat Singh Behl and Atılım Güneş Baydin and Ran Gal and Philip H. S. Torr and Vibhav Vineet",
year = "2020",
booktitle = "16th European Conference on Computer Vision (ECCV)",
}
@article{cobb-2019-ensemble,
title = "An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval",
author = "Adam D. Cobb and Michael D. Himes and Frank Soboczenski and Simone Zorzan and Molly D. O’Beirne and Atılım Güneş Baydin and Yarin Gal and Shawn D. Domagal-Goldman and Giada N. Arney and Daniel Angerhausen",
year = "2019",
journal = "The Astronomical Journal",
number = "1",
url = "https://doi.org/10.3847/1538-3881/ab2390",
volume = "158",
doi = "10.3847/1538-3881/ab2390",
}
@inproceedings{lamb-2019-prediction,
title = "Prediction of GNSS Phase Scintillations: A Machine Learning Approach",
author = "Kara Lamb and Garima Malhotra and Athanasios Vlontzos and Edward Wagstaff and Atılım Güneş Baydin and Anahita Bhiwandiwalla and Yarin Gal and Alfredo Kalaitzis and Anthony Reina and Asti Bhatt",
year = "2019",
booktitle = "Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada",
}
@inproceedings{lamb-2019-gnss,
title = "Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder",
author = "Kara Lamb and Garima Malhotra and Athanasios Vlontzos and Edward Wagstaff and Atılım Güneş Baydin and Anahita Bhiwandiwalla and Yarin Gal and Alfredo Kalaitzis and Anthony Reina and Asti Bhatt",
year = "2019",
booktitle = "Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada",
}
@inproceedings{neuberg-2019-autocalibration,
title = "Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning",
author = "Brad Neuberg and Souvik Bose and Valentina Salvatelli and Luiz F. {Guedes dos Santos} and Mark Cheung and Miho Janvier and Atılım Güneş Baydin and Yarin Gal and Meng Jin",
year = "2019",
booktitle = "Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada",
}
@inproceedings{salvatelli-2019-virtual,
title = "Using U-Nets to create high-fidelity virtual observations of the solar corona",
author = "Valentina Salvatelli and Souvik Bose and Brad Neuberg and Luiz F. {Guedes dos Santos} and Mark Cheung and Miho Janvier and Atılım Güneş Baydin and Yarin Gal and Meng Jin",
year = "2019",
booktitle = "Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada",
}
@inproceedings{gitiaux-2019-probabilistic,
title = "Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties",
author = "Xavier Gitiaux and Shane Maloney and Anna Jungbluth and Carl Shneider and Atılım Güneş Baydin and Paul J. Wright and Yarin Gal and Michel Deudon and Alfredo Kalaitzis and Andres {Munoz-Jaramillo}",
year = "2019",
booktitle = "Fourth workshop on Bayesian Deep Learning (NeurIPS 2019), Vancouver, Canada",
}
@inproceedings{jungbluth-2019-super,
title = "Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses",
author = "Anna Jungbluth and Xavier Gitiaux and Shane Maloney and Carl Shneider and Paul Wright and Atılım Güneş Baydin and Michel Deudon and Alfredo Kalaitzis and Yarin Gal and Andres Munoz-Jaramillo",
year = "2019",
booktitle = "Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada",
}
@inproceedings{behl-2019-alphamaml,
title = "Alpha MAML: Adaptive Model-Agnostic Meta-Learning",
author = "Behl, Harkirat and Baydin, Atılım Güneş and Torr, Philip H.S.",
year = "2019",
booktitle = "6th ICML Workshop on Automated Machine Learning, Thirty-sixth International Conference on Machine Learning (ICML 2019), Long Beach, CA, US",
}
@inproceedings{gramhansen-2019-hijacking,
title = "Hijacking Malaria Simulators with Probabilistic Programming",
author = "{Gram-Hansen}, Bradley and Schroeder, Christian and Torr, Philip H.S. and Teh, Yee Whye and Rainforth, Tom and Baydin, Atılım Güneş",
year = "2019",
booktitle = "ICML Workshop on AI for Social Good, Thirty-sixth International Conference on Machine Learning (ICML 2019), Long Beach, CA, US",
}
@inproceedings{blackwell-2019-usability,
title = "Usability of Probabilistic Programming Languages",
author = "Alan Blackwell and Tobias Kohn and Martin Erwig and Atılım Güneş Baydin and Luke Church and James Geddes and Andy Gordon and Maria Gorinova and Bradley Gram-Hansen and Neil Lawrence and Vikash Mansinghka and Brooks Paige and Tomas Petricek and Diana Robinson and Advait Sarkar and Oliver Strickson",
year = "2019",
booktitle = "Psychology of Programming Interest Group Annual Workshop (PPIG 2019), Newcastle, UK, 28--30 August 2019",
}
@inproceedings{gramhansen-2019-efficient,
title = "Efficient Bayesian Inference for Nested Simulators",
author = "Bradley Gram-Hansen and Christian Schroeder de Witt and Robert Zinkov and Saeid Naderiparizi and Adam Scibior and Andreas Munk and Frank Wood and Mehrdad Ghadiri and Philip Torr and Yee Whye Teh and Atılım Güneş Baydin and Tom Rainforth",
year = "2019",
booktitle = "Second Symposium on Advances in Approximate Bayesian Inference (AABI), Vancouver, Canada, 8 December 2019",
}
@inproceedings{cobb-2019-hamiltonian,
title = "Semi-separable Hamiltonian Monte Carlo for inference in Bayesian neural networks",
author = "Adam D Cobb and Atılım Güneş Baydin and Ivan Kiskin and Andrew Markham and Stephen Roberts",
year = "2019",
booktitle = "Fourth workshop on Bayesian Deep Learning (NeurIPS 2019), Vancouver, Canada",
}
@inproceedings{mateogarcia-2019-orbital,
title = "Flood Detection On Low Cost Orbital Hardware",
author = "Gonzalo {Mateo-Garcia} and Silviu Oprea and Lewis Smith and Joshua {Veitch-Michaelis} and Atılım Güneş Baydin and Dietmar Backes",
year = "2019",
booktitle = "Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada",
}
@inproceedings{chopra-2019-exoatmos,
title = "{EXO-ATMOS}: A Scalable Grid of Hypothetical Planetary Atmospheres",
author = "Chopra, Aditya and Bell, Aaron and Fawcett, William and Talebi, Rodd and Angerhausen, Daniel and Baydin, Atılım Güneş and Berea, Anamaria and Cabrol, Nathalie A. and Kempes, Chris and Mascaro, Massimo",
year = "2019",
booktitle = "Astrobiology Science Conference (AbSciCon 2019), Bellevue, Washington, June 24--28, 2019",
url = "https://agu.confex.com/agu/abscicon19/prelim.cgi/Paper/480996",
}
@inproceedings{obeirne-2019-inara,
title = "INARA: A Machine Learning Retrieval Framework with a Data Set of 3 Million Simulated Exoplanet Atmospheric Spectra",
author = "Molly D. O’Beirne and Michael D. Himes and Frank Soboczenski and Simone Zorzan and Adam Cobb and Atılım Güneş Baydin and Yarin Gal and Daniel Angerhausen and Massimo Mascaro and Giada N. Arney and Shawn D. Domagal-Goldman",
year = "2019",
booktitle = "Astrobiology Science Conference (AbSciCon 2019), Bellevue, Washington, June 24--28, 2019",
url = "https://agu.confex.com/agu/abscicon19/meetingapp.cgi/Paper/481266",
}
@inproceedings{himes-2019-exoplanetary,
title = "Exoplanetary Atmospheric Retrieval via Bayesian Machine Learning",
author = "M. Himes and A. Cobb and A. Baydin and F. Soboczenski and S. Zorzan and M. O'Beirne and G.N. Arney and S. Domagal-Goldman and D. Angerhausen and Y. Gal",
year = "2019",
booktitle = "American Astronomical Society Meeting on Extreme Solar Systems IV, Reykjavik, Iceland, August 19--23, 2019",
url = "https://sites.northwestern.edu/iceland2019/",
}
@inproceedings{cheung-2019-cloud,
title = "Cloud Computing at NASA's Frontier Development Lab",
author = "Mark Cheung and Andrés Munoz-Jaramillo and Paul Wright and Asti Bhatt and Ignacio López-Francos and Atılım Güneş Baydin and Piotr Bilinski and Daniel Angerhausen and Miho Janvier",
year = "2019",
booktitle = "Next Generation Cloud Research Infrastructure, Princeton, NJ, United States, November 11--12, 2019",
url = "https://sites.google.com/view/workshop-on-cloud-cri",
}
@inproceedings{cheung-2019-auto,
title = "Auto-calibration and reconstruction of {SDO}’s Atmospheric Imaging Assembly channels with Deep Learning",
author = "Mark Cheung and Luiz Fernando {Guedes dos Santos} and Souvik Bose and Brad Neuberg and Valentina Salvatelli and Atılım Güneş Baydin and Miho Janvier and Meng Jin",
year = "2019",
booktitle = "American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, United States, December 9--13, 2019",
url = "https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/628427",
}
@inproceedings{baydin-2019-etalumis,
title = "Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale",
author = "Atılım Güneş Baydin and Lei Shao and Wahid Bhimji and Lukas Heinrich and Lawrence F. Meadows and Jialin Liu and Andreas Munk and Saeid Naderiparizi and Bradley Gram-Hansen and Gilles Louppe and Mingfei Ma and Xiaohui Zhao and Philip Torr and Victor Lee and Kyle Cranmer and Prabhat and Frank Wood",
year = "2019",
address = "New York, NY, USA",
booktitle = "Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis",
isbn = "9781450362290",
keywords = "inference, probabilistic programming, deep learning, simulation",
location = "Denver, Colorado",
publisher = "Association for Computing Machinery",
series = "SC ’19",
url = "https://doi.org/10.1145/3295500.3356180",
doi = "10.1145/3295500.3356180",
}
@inproceedings{baydin-2019-quest-for-physics,
title = "Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model",
author = "Atılım Güneş Baydin and Lukas Heinrich and Wahid Bhimji and Lei Shao and Saeid Naderiparizi and Andreas Munk and Jialin Liu and Bradley Gram-Hansen and Gilles Louppe and Lawrence Meadows and Philip Torr and Victor Lee and Prabhat and Kyle Cranmer and Frank Wood",
year = "2019",
booktitle = "Advances in Neural Information Processing Systems 33 (NeurIPS)",
}
@techreport{bose-2019-expanding,
title = "Expanding the capabilities of {NASA}'s Solar Dynamics Observatory",
author = "Souvik Bose and Brad Neuberg and Valentina Salvatelli and Luiz F. {Guedes dos Santos} and Mark Cheung and Miho Janvier and Atılım Güneş Baydin and Meng Jin",
year = "2019",
institution = "{NASA} Frontier Development Lab Technical Memorandum",
}
@techreport{mateogarcia-2019-flood,
title = "Flood Detection On Low Cost Orbital Hardware",
author = "{Mateo-Garcia}, Gonzalo and Oprea, Silviu and Smith, Lewis and {Veitch-Michaelis}, Joshua and Baydin, Atılım Güneş and Backes, Dietmar",
year = "2019",
institution = "{ESA} Frontier Development Lab Technical Memorandum",
}
@techreport{bose-2019-expanding,
title = "Expanding the capabilities of {NASA}'s Solar Dynamics Observatory",
author = "Souvik Bose and Brad Neuberg and Valentina Salvatelli and Luiz F. G. {dos Santos} and Mark Cheung and Miho Janvier and Atılım Güneş Baydin and Meng Jin",
year = "2019",
institution = "{NASA} Frontier Development Lab Technical Memorandum",
}
@techreport{lamb-2019-living,
title = "Living With Our Star: Enhanced Predictability of GNSS Disturbances",
author = "Kara Lamb and Garima Malhotra and Athanasios Vlontzos and Edward Wagstaff and Asti Bhatt and Atılım Güneş Baydin and Anahita Bhiwandiwalla and Yarin Gal and Alfredo Kalaitzis and Tony Reina",
year = "2019",
institution = "{NASA} Frontier Development Lab Technical Memorandum",
}
@techreport{gitiaux-2019-super,
title = "Super-resolution Maps of Solar Magnetic Field Covering 40 Years of Space Weather Events",
author = "Xavier Gitiaux and Anna Jungbluth and Shane Maloney and Carl Shneider and Atılım Güneş Baydin and Andrés {Muñoz-Jaramillo} and Paul Wright",
year = "2019",
institution = "{NASA} Frontier Development Lab Technical Memorandum",
}
@article{baydin-2018-ad-machinelearning,
title = "Automatic differentiation in machine learning: a survey",
author = "Baydin, Atılım Güneş and Pearlmutter, Barak A. and Radul, Alexey Andreyevich and Siskind, Jeffrey Mark",
year = "2018",
journal = "Journal of Machine Learning Research (JMLR)",
number = "153",
pages = "1-43",
url = "http://jmlr.org/papers/v18/17-468.html",
volume = "18",
}
@inproceedings{soboczenski-2018-bayesian-exoplanet,
title = "Bayesian Deep Learning for Exoplanet Atmospheric Retrieval",
author = "Frank Soboczenski and Michael D. Himes and Molly D. O'Beirne and Simone Zorzan and Atılım Güneş Baydin and Adam D. Cobb and Yarin Gal and Daniel Angerhausen and Massimo Mascaro and Giada N. Arney and Shawn D. Domagal-Goldman",
year = "2018",
booktitle = "Third workshop on Bayesian Deep Learning (NeurIPS 2018), Montreal, Canada",
}
@inproceedings{baydin-2018-hypergradient,
title = "Online Learning Rate Adaptation with Hypergradient Descent",
author = "Baydin, Atılım Güneş and Cornish, Robert and Rubio, David Martínez and Schmidt, Mark and Wood, Frank",
year = "2018",
booktitle = "Sixth International Conference on Learning Representations (ICLR), Vancouver, Canada, April 30 -- May 3, 2018",
}
@techreport{himes-2018-biohints,
title = "From Biohints to Confirmed Evidence of Life: Possible Metabolisms Within Extraterrestrial Environmental Substrates",
author = "Michael D. Himes and Molly D. O’Beirne and Frank Soboczenski and Simone Zorzan and Atılım Güneş Baydin and Adam Cobb and Daniel Angerhausen and Giada N. Arney and Shawn D. Domagal-Goldman",
year = "2018",
institution = "{NASA} Frontier Development Lab Technical Memorandum",
}
@inproceedings{lezcano-2017-improvements-to-inference-compilation,
title = "Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators",
author = "{Lezcano Casado}, Mario and Baydin, Atılım Güneş and {Martinez Rubio}, David and Le, Tuan Anh and Wood, Frank and Heinrich, Lukas and Louppe, Gilles and Cranmer, Kyle and Bhimji, Wahid and Ng, Karen and Prabhat",
year = "2017",
booktitle = "Neural Information Processing Systems (NIPS) 2017 workshop on Deep Learning for Physical Sciences (DLPS), Long Beach, CA, US, December 8, 2017",
}
@inproceedings{milutinovic-2017-end-to-end,
title = "End-to-end Training of Differentiable Pipelines Across Machine Learning Frameworks",
author = "Milutinovic, Mitar and Baydin, Atılım Güneş and Zinkov, Robert and Harvey, William and Song, Dawn and Wood, Frank and Shen, Wade",
year = "2017",
booktitle = "Neural Information Processing Systems (NIPS) 2017 Autodiff Workshop: The Future of Gradient-based Machine Learning Software and Techniques, Long Beach, CA, US, December 9, 2017",
}
@inproceedings{le-2016-synthetic-data,
title = "Using Synthetic Data to Train Neural Networks is Model-Based Reasoning",
author = "Le, Tuan Anh and Baydin, Atılım Güneş and Zinkov, Robert and Wood, Frank",
year = "2017",
booktitle = "30th International Joint Conference on Neural Networks, Anchorage, AK, USA, May 14--19, 2017",
}
@inproceedings{le-2016-inference-compilation,
title = "Inference Compilation and Universal Probabilistic Programming",
author = "Le, Tuan Anh and Baydin, Atılım Güneş and Wood, Frank",
year = "2017",
address = "Fort Lauderdale, FL, USA",
booktitle = "Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS)",
pages = "1338--1348",
publisher = "PMLR",
series = "Proceedings of Machine Learning Research",
volume = "54",
}
@inproceedings{le-2016-nested-compiled-inference,
title = "Nested Compiled Inference for Hierarchical Reinforcement Learning",
author = "Le, Tuan Anh and Baydin, Atılım Güneş and Wood, Frank",
year = "2016",
booktitle = "Neural Information Processing Systems (NIPS) 2016 Workshop on Bayesian Deep Learning, Barcelona, Spain, December 10, 2016",
}
@inproceedings{baydin-2016-diffsharp-an-ad-library,
title = "DiffSharp: An AD Library for .NET Languages",
author = "Baydin, Atılım Güneş and Pearlmutter, Barak A. and Siskind, Jeffrey Mark",
year = "2016",
booktitle = "7th International Conference on Algorithmic Differentiation, Christ Church Oxford, UK, September 12--15, 2016",
}
@inproceedings{baydin-2016-tricks-from-deep-learning,
title = "Tricks from Deep Learning",
author = "Baydin, Atılım Güneş and Pearlmutter, Barak A. and Siskind, Jeffrey Mark",
year = "2016",
booktitle = "7th International Conference on Algorithmic Differentiation, Christ Church Oxford, UK, September 12--15, 2016",
}
@article{baydin-2015-semanticnetwork-evolutionary,
title = "A semantic network-based evolutionary algorithm for computational creativity",
author = "Baydin, Atılım Güneş and López de Mántaras, Ramon and Ontañón, Santiago",
year = "2015",
journal = "Evolutionary Intelligence",
number = "1",
pages = "3--21",
publisher = "Springer",
volume = "8",
doi = "10.1007/s12065-014-0119-1",
}
@inproceedings{baydin-2015-mloss,
title = "DiffSharp: Automatic Differentiation Library",
author = "Baydin, Atılım Güneş and Pearlmutter, Barak A.",
year = "2015",
booktitle = "International Conference on Machine Learning (ICML) Workshop on Machine Learning Open Source Software 2015: Open Ecosystems, Lille, France, July 10, 2015",
}
@inproceedings{baydin-2014-ad-machinelearning,
title = "Automatic differentiation of algorithms for machine learning",
author = "Baydin, Atılım Güneş and Pearlmutter, Barak A.",
year = "2014",
booktitle = "AutoML Workshop, International Conference on Machine Learning (ICML), Beijing, China, June 21–26, 2014",
}
@phdthesis{baydin-2013-phd-thesis,
title = "Evolutionary Adaptation in Case-Based Reasoning: An Application to Inter-Domain Analogies for Mediation",
author = "Baydin, Atılım Güneş",
year = "2013",
address = "Barcelona, Spain",
school = "Universitat Autònoma de Barcelona",
doi = "doi:10803/129294",
}
@article{baydin-2012-centralpatterngenerator,
title = "Evolution of central pattern generators for the control of a five-link bipedal walking mechanism",
author = "Baydin, Atılım Güneş",
year = "2012",
journal = "Paladyn, Journal of Behavioral Robotics",
number = "1",
pages = "45--53",
volume = "3",
doi = "10.2478/s13230-012-0019-y",
}
@inproceedings{baydin-2012-crossdomain-analogies,
title = "Automated generation of cross-domain analogies via evolutionary computation",
author = "Baydin, Atılım Güneş and López de Mántaras, Ramon and Ontañón, Santiago",
year = "2012",
booktitle = "Proceedings of the International Conference on Computational Creativity (ICCC 2012), Dublin, Ireland, May 30--June 1, 2012",
pages = "25--32",
}
@inproceedings{baydin-2012-evolution-of-ideas,
title = "Evolution of ideas: A novel memetic algorithm based on semantic networks",
author = "Baydin, Atılım Güneş and López de Mántaras, Ramon",
year = "2012",
booktitle = "Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2012, IEEE World Congress On Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10--15, 2012",
pages = "1--8",
doi = "10.1109/CEC.2012.6252886",
}
@incollection{baydin-2011-cbr-commonsense-structuremapping,
title = "CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation",
author = "Baydin, Atılım Güneş and López de Mántaras, Ramon and Simoff, Simeon and Sierra, Carles",
year = "2011",
booktitle = "Case-Based Reasoning Research and Development",
editor = "Ram, Ashwin and Wiratunga, Nirmalie",
isbn = "978-3-642-23290-9",
pages = "378--392",
publisher = "Springer Berlin Heidelberg",
series = "Lecture Notes in Computer Science",
url = "http://dx.doi.org/10.1007/978-3-319-23461-8_36",
volume = "6880",
doi = "10.1007/978-3-642-23291-6_28",
}
@mastersthesis{baydin-2008-dissipative-particle-dynamics,
title = "Dissipative Particle Dynamics and Coarse-Graining: Review of Existing Techniques, Trials with Evolutionary Computation",
author = "Baydin, Atılım Güneş",
year = "2008",
address = "Göteborg, Sweden",
school = "Department of Applied Physics, Chalmers University of Technology",
}