Baydin, Atilim Güneş

9 publications

NeurIPSW 2024 Second-Order Forward-Mode Automatic Differentiation for Optimization Adam D. Cobb, Atilim Gunes Baydin, Barak A. Pearlmutter, Susmit Jha

ICMLW 2022 Estimating the Impact of Coordinated Inauthentic Behavior on Content Recommendations in Social Networks Swapneel S Mehta, Atilim Gunes Baydin, Bogdan State, Richard Bonneau, Jonathan Nagler, Philip Torr

ICLR 2022 KL Guided Domain Adaptation A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip Torr, Atilim Gunes Baydin

NeurIPS 2021 Domain Invariant Representation Learning with Domain Density Transformations A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Gunes Baydin

ECCV 2020 AutoSimulate: (Quickly) Learning Synthetic Data Generation Harkirat Singh Behl, Atilim Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet

NeurIPS 2020 Black-Box Optimization with Local Generative Surrogates Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrei Ustyuzhanin, Atilim Gunes Baydin

NeurIPS 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 Torr, Victor Lee, Kyle Cranmer, Mr. Prabhat, Frank Wood

ICLR 2018 Online Learning Rate Adaptation with Hypergradient Descent Atilim Gunes Baydin, Robert Cornish, David Martinez Rubio, Mark Schmidt, Frank Wood

AISTATS 2017 Inference Compilation and Universal Probabilistic Programming Tuan Anh Le, Atilim Gunes Baydin, Frank D. Wood