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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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