Atılım Güneş Baydin
Title
Cited by
Cited by
Year
Automatic differentiation in machine learning: a survey
AG Baydin, BA Pearlmutter, AA Radul, JM Siskind
Journal of Machine Learning Research 18, 1-43, 2018
4412018
Inference compilation and universal probabilistic programming
TA Le, AG Baydin, F Wood
20th International Conference on Artificial Intelligence and Statistics …, 2017
862017
Online Learning Rate Adaptation with Hypergradient Descent
AG Baydin, R Cornish, DM Rubio, M Schmidt, F Wood
Sixth International Conference on Learning Representations (ICLR), 2018
572018
Using synthetic data to train neural networks is model-based reasoning
TA Le, AG Baydin, R Zinkov, F Wood
Neural Networks (IJCNN), 2017 International Joint Conference on, 3514-3521, 2017
482017
Tricks from Deep Learning
AG Baydin, BA Pearlmutter, JM Siskind
7th International Conference on Algorithmic Differentiation, 2016
24*2016
Evolution of central pattern generators for the control of a five-link bipedal walking mechanism
AG Baydin
Paladyn, Journal of Behavioral Robotics 3 (1), 45-53, 2012
242012
DiffSharp: An AD Library for. NET Languages
AG Baydin, BA Pearlmutter, JM Siskind
7th International Conference on Algorithmic Differentiation, 2016
20*2016
Automated generation of cross-domain analogies via evolutionary computation
AG Baydin, R López de Mántaras, S Ontańón
International Conference on Computational Creativity (ICCC 2012), Dublin …, 2012
202012
Automatic differentiation of algorithms for machine learning
AG Baydin, BA Pearlmutter
AutoML Workshop, International Conference on Machine Learning (ICML …, 2014
182014
CBR with commonsense reasoning and structure mapping: an application to mediation
AG Baydin, RL de Mántaras, S Simoff, C Sierra
International Conference on Case-Based Reasoning, 378-392, 2011
122011
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
AG Baydin, L Shao, W Bhimji, L Heinrich, L Meadows, J Liu, A Munk, ...
International Conference for High Performance Computing, Networking, Storage …, 2019
112019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
AG Baydin, L Heinrich, W Bhimji, B Gram-Hansen, G Louppe, L Shao, ...
Advances in Neural Information Processing Systems 33 (NeurIPS), 2019
92019
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
AD Cobb, MD Himes, F Soboczenski, S Zorzan, MD O’Beirne, AG Baydin, ...
The Astronomical Journal 158 (1), 33, 2019
72019
End-to-end Training of Differentiable Pipelines Across Machine Learning Frameworks
M Milutinovic, AG Baydin, R Zinkov, W Harvey, D Song, F Wood, W Shen
NIPS 2017 Autodiff Workshop: The Future of Gradient-Based Machine Learning …, 2017
72017
Alpha MAML: Adaptive Model-Agnostic Meta-Learning
HS Behl, AG Baydin, PHS Torr
6th ICML Workshop on Automated Machine Learning, Thirty-Sixth International …, 2019
62019
Deep probabilistic surrogate networks for universal simulator approximation
A Munk, A Ścibior, AG Baydin, A Stewart, G Fernlund, A Poursartip, ...
arXiv preprint arXiv:1910.11950, 2019
42019
Hijacking Malaria Simulators with Probabilistic Programming
B Gram-Hansen, CS de Witt, T Rainforth, PHS Torr, YW Teh, AG Baydin
ICML Workshop on AI for Social Good, Thirty-Sixth International Conference …, 2019
42019
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators
ML Casado, AG Baydin, DM Rubio, TA Le, F Wood, L Heinrich, G Louppe, ...
NIPS 2017 Workshop on Deep Learning for Physical Sciences (DLPS), 2017
42017
Nested Compiled Inference for Hierarchical Reinforcement Learning
TA Le, AG Baydin, F Wood
NIPS 2016 Workshop on Bayesian Deep Learning, 2016
42016
A semantic network-based evolutionary algorithm for computational creativity
AG Baydin, RL de Mántaras, S Ontanón
Evolutionary Intelligence 8 (1), 3-21, 2015
4*2015
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Articles 1–20