Atilim Günes Baydin

According to our database, Atilim Günes Baydin authored at least 61 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Foundation Model for the Solar Dynamics Observatory.

James Walsh, Daniel G. Gass, Raúl Ramos-Pollán, Paul J. Wright, Richard Galvez, Noah Kasmanoff, Jason Naradowsky, Anne Spalding, James Parr, Atilim Günes Baydin

CoRR, 2024

Second-Order Forward-Mode Automatic Differentiation for Optimization.

Adam D. Cobb, Atilim Günes Baydin, Barak A. Pearlmutter, Susmit Jha

CoRR, 2024

Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming.

Giacomo Acciarini, Atilim Günes Baydin, Dario Izzo

CoRR, 2024

2023

High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery.

Shreshth A. Malik, James Walsh, Giacomo Acciarini, Thomas E. Berger, Atilim Günes Baydin

CoRR, 2023

Managing AI Risks in an Era of Rapid Progress.

Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila A. McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann

CoRR, 2023

2022

Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation.

Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Gunes Baydin

CoRR, 2022

Gradients without Backpropagation.

Atilim Günes Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip H. S. Torr

CoRR, 2022

Probabilistic surrogate networks for simulators with unbounded randomness.

Andreas Munk, Berend Zwartsenberg, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Attention for Inference Compilation.

William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood

Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, 2022

KL Guided Domain Adaptation.

A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip H. S. Torr, Atilim Gunes Baydin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Amortized Rejection Sampling in Universal Probabilistic Programming.

Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles.

Bernard Benson, Edward Brown, Stefano Bonasera, Giacomo Acciarini, Jorge A. Pérez-Hernández, Eric Sutton, Moriba K. Jah, Christopher Bridges, Meng Jin, Atilim Günes Baydin

CoRR, 2021

Simulation Intelligence: Towards a New Generation of Scientific Methods.

Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atilim Günes Baydin, Carina Prunkl, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob H. Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer

CoRR, 2021

Detecting and Quantifying Malicious Activity with Simulation-based Inference.

Andrew Gambardella, Bogdan State, Naeemullah Khan, Leo Tsourides, Philip H. S. Torr, Atilim Günes Baydin

CoRR, 2021

Technology Readiness Levels for Machine Learning Systems.

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

CoRR, 2021

Domain Invariant Representation Learning with Domain Density Transformations.

A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Gunes Baydin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Converter software to calibrate and super-resolve solar magnetograms.

Andrés Muñoz-Jaramillo, Xavier Gitiaux, Anna Jungbluth, Shane A. Maloney, Carl Shneider, Paul J. Wright, Michel Deudon, Alfredo Kalaitzis, Atilim Günes Baydin, Yarin Gal

Dataset, April, 2020

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

Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atilim Günes Baydin

CoRR, 2020

Towards Automated Satellite Conjunction Management with Bayesian Deep Learning.

Francesco Pinto, Giacomo Acciarini, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin

CoRR, 2020

Spacecraft Collision Risk Assessment with Probabilistic Programming.

Giacomo Acciarini, Francesco Pinto, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin

CoRR, 2020

Simulation-Based Inference for Global Health Decisions.

Christian Schröder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Robert Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atilim Günes Baydin

CoRR, 2020

Differentiating the Black-Box: Optimization with Local Generative Surrogates.

Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Günes Baydin

CoRR, 2020

Black-Box Optimization with Local Generative Surrogates.

Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Gunes Baydin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AutoSimulate: (Quickly) Learning Synthetic Data Generation.

Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Transflow Learning: Repurposing Flow Models Without Retraining.

Andrew Gambardella, Atilim Günes Baydin, Philip H. S. Torr

CoRR, 2019

Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning.

Brad Neuberg, Souvik Bose, Valentina Salvatelli, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

CoRR, 2019

Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona.

Valentina Salvatelli, Souvik Bose, Brad Neuberg, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

CoRR, 2019

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

Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo

CoRR, 2019

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

Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo

CoRR, 2019

Deep Probabilistic Surrogate Networks for Universal Simulator Approximation.

Andreas Munk, Adam Scibior, Atilim Günes Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood

CoRR, 2019

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

Adam D. Cobb, Atilim Günes Baydin, Andrew Markham, Stephen J. Roberts

CoRR, 2019

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder.

Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

CoRR, 2019

Flood Detection On Low Cost Orbital Hardware.

Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atilim Günes Baydin, Dietmar Backes

CoRR, 2019

Prediction of GNSS Phase Scintillations: A Machine Learning Approach.

Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

CoRR, 2019

Hijacking Malaria Simulators with Probabilistic Programming.

Bradley Gram-Hansen, Christian Schröder de Witt, Tom Rainforth, Philip H. S. Torr, Yee Whye Teh, Atilim Günes Baydin

CoRR, 2019

An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval.

Adam D. Cobb, Michael D. Himes, Frank Soboczenski, Simone Zorzan, Molly D. O'Beirne, Atilim Günes Baydin, Yarin Gal, Shawn D. Domagal-Goldman, Giada N. Arney, Daniel Angerhausen

CoRR, 2019

Alpha MAML: Adaptive Model-Agnostic Meta-Learning.

Harkirat Singh Behl, Atilim Günes Baydin, Philip H. S. Torr

CoRR, 2019

Etalumis: bringing probabilistic programming to scientific simulators at scale.

Atilim Günes 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 H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood

Proceedings of the International Conference for High Performance Computing, 2019

Usability of Probabilistic Programming Languages.

Alan F. Blackwell, Luke Church, Martin Erwig, James Geddes, Andy Gordon, Maria I. Gorinova, Atilim Gunes Baydin, Bradley Gram-Hansen, Tobias Kohn, Neil D. Lawrence, Vikash Mansinghka, Brooks Paige, Tomas Petricek, Diana Robinson, Advait Sarkar, Oliver Strickson

Proceedings of the 30th Annual Workshop of the Psychology of Programming Interest Group, 2019

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.

Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Bayesian Deep Learning for Exoplanet Atmospheric Retrieval.

Frank Soboczenski, Michael D. Himes, Molly D. O'Beirne, Simone Zorzan, Atilim Gunes Baydin, Adam D. Cobb, Daniel Angerhausen, Giada N. Arney, Shawn D. Domagal-Goldman

CoRR, 2018

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.

Atilim Gunes Baydin, Lukas Heinrich, Wahid Bhimji, Bradley Gram-Hansen, Gilles Louppe, Lei Shao, Prabhat, Kyle Cranmer, Frank D. Wood

CoRR, 2018

Online Learning Rate Adaptation with Hypergradient Descent.

Atilim Gunes Baydin, Robert Cornish, David Martínez-Rubio, Mark Schmidt, Frank Wood

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Automatic Differentiation in Machine Learning: a Survey.

Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind

J. Mach. Learn. Res., 2017

Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators.

Mario Lezcano Casado, Atilim Gunes Baydin, David Martínez-Rubio, Tuan Anh Le, Frank D. Wood, Lukas Heinrich, Gilles Louppe, Kyle Cranmer, Karen Ng, Wahid Bhimji, Prabhat

CoRR, 2017

Using synthetic data to train neural networks is model-based reasoning.

Tuan Anh Le, Atilim Günes Baydin, Robert Zinkov, Frank D. Wood

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Inference Compilation and Universal Probabilistic Programming.

Tuan Anh Le, Atilim Gunes Baydin, Frank D. Wood

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Tricks from Deep Learning.

Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2016

DiffSharp: An AD Library for .NET Languages.

Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2016

2015

A semantic network-based evolutionary algorithm for computational creativity.

Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón

Evol. Intell., 2015

DiffSharp: Automatic Differentiation Library.

Atilim Gunes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2015

Automatic differentiation in machine learning: a survey.

Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul

CoRR, 2015

2014

An Analysis of Publication Venues for Automatic Differentiation Research.

Atilim Gunes Baydin, Barak A. Pearlmutter

CoRR, 2014

Automatic Differentiation of Algorithms for Machine Learning.

Atilim Gunes Baydin, Barak A. Pearlmutter

CoRR, 2014

A semantic network-based evolutionary algorithm for modeling memetic evolution and creativity.

Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón

CoRR, 2014

2013

City versus wetland: Predicting urban growth in the Vecht area with a cellular automaton model

Melek Tendurus, Atilim Günes Baydin, Marieke A. Eleveld, Alison J. Gilbert

CoRR, 2013

2012

Evolution of central pattern generators for the control of a five-link bipedal walking mechanism.

Atilim Günes Baydin

Paladyn J. Behav. Robotics, 2012

Automated Generation of Cross-Domain Analogies via Evolutionary Computation.

Atilim Günes Baydin, Ramón López de Mántaras, Santiago Ontañón

Proceedings of the Third International Conference on Computational Creativity, 2012

Evolution of ideas: A novel memetic algorithm based on semantic networks.

Atilim Günes Baydin, Ramón López de Mántaras

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation.

Atilim Günes Baydin, Ramón López de Mántaras, Simeon J. Simoff, Carles Sierra

Proceedings of the Case-Based Reasoning Research and Development, 2011

2008

Evolution of central pattern generators for the control of a five-link planar bipedal walking mechanism

Atilim Günes Baydin

CoRR, 2008