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Domain Invariant Representation Learning with Domain Density Transformations


Feb 14, 2021
A. Tuan Nguyen, Toan Tran, Yarin Gal, Atılım Güneş Baydin


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Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning


Feb 01, 2021
Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atılım Güneş Baydin

* 12 pages, 7 figures, 8 tables. This is a pre-print of an article submitted and accepted by A&A Journal 

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Technology Readiness Levels for Machine Learning Systems


Jan 11, 2021
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atılım Güneş Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr


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Towards Automated Satellite Conjunction Management with Bayesian Deep Learning


Dec 23, 2020
Francesco Pinto, Giacomo Acciarini, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atılım Güneş Baydin

* 7 pages, 2 figures 

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Spacecraft Collision Risk Assessment with Probabilistic Programming


Dec 18, 2020
Giacomo Acciarini, Francesco Pinto, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atılım Güneş Baydin

* 8 pages, 2 figures 

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AutoSimulate: (Quickly) Learning Synthetic Data Generation


Aug 16, 2020
Harkirat Singh Behl, Atılım Güneş Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet

* European Conference on Computer Vision (ECCV) 2020 
* ECCV 2020 

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Simulation-Based Inference for Global Health Decisions


May 14, 2020
Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip Torr, Atılım Güneş Baydin


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Differentiating the Black-Box: Optimization with Local Generative Surrogates


Feb 11, 2020
Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atılım Güneş Baydin


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Transflow Learning: Repurposing Flow Models Without Retraining


Dec 05, 2019
Andrew Gambardella, Atılım Güneş Baydin, Philip H. S. Torr


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Amortized Rejection Sampling in Universal Probabilistic Programming


Nov 30, 2019
Saeid Naderiparizi, Adam Ścibior, Andreas Munk, Mehrdad Ghadiri, Atılım Güneş Baydin, Bradley Gram-Hansen, Christian Schroeder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood


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Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses


Nov 04, 2019
Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atılım Güneş Baydin, Yarin Gal, Andrés Muñoz-Jaramillo


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Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties


Nov 04, 2019
Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atılım Güneş Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo


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Attention for Inference Compilation


Oct 25, 2019
William Harvey, Andreas Munk, Atılım Güneş Baydin, Alexander Bergholm, Frank Wood


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Deep Probabilistic Surrogate Networks for Universal Simulator Approximation


Oct 25, 2019
Andreas Munk, Adam Ścibior, Atılım Güneş Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood


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Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo


Oct 14, 2019
Adam D. Cobb, Atılım Güneş Baydin, Andrew Markham, Stephen J. Roberts


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Flood Detection On Low Cost Orbital Hardware


Oct 14, 2019
Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atılım Güneş Baydin, Dietmar Backes

* Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale


Jul 08, 2019
Atılım Güneş Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip Torr, Victor Lee, Kyle Cranmer, Prabhat, Frank Wood

* 14 pages, 8 figures 

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Hijacking Malaria Simulators with Probabilistic Programming


May 29, 2019
Bradley Gram-Hansen, Christian Schröder de Witt, Tom Rainforth, Philip H. S. Torr, Yee Whye Teh, Atılım Güneş Baydin

* ICML Workshop on AI for Social Good, 2018 
* 6 pages, 3 figures, Accepted at the International Conference on Machine Learning AI for Social Good Workshop, Long Beach, United States, 2019 

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An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval


May 25, 2019
Adam D. Cobb, Michael D. Himes, Frank Soboczenski, Simone Zorzan, Molly D. O'Beirne, Atılım Güneş Baydin, Yarin Gal, Shawn D. Domagal-Goldman, Giada N. Arney, Daniel Angerhausen


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Alpha MAML: Adaptive Model-Agnostic Meta-Learning


May 17, 2019
Harkirat Singh Behl, Atılım Güneş Baydin, Philip H. S. Torr

* 6th ICML Workshop on Automated Machine Learning (2019) 

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Tricks from Deep Learning


Nov 10, 2016
Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind

* Extended abstract presented at the AD 2016 Conference, Sep 2016, Oxford UK 

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DiffSharp: An AD Library for .NET Languages


Nov 10, 2016
Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind

* Extended abstract presented at the AD 2016 Conference, Sep 2016, Oxford UK 

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