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
5982018
Inference compilation and universal probabilistic programming
TA Le, AG Baydin, F Wood
20th International Conference on Artificial Intelligence and Statistics …, 2017
922017
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
802018
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
612017
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
26*2012
DiffSharp: An AD Library for. NET Languages
AG Baydin, BA Pearlmutter, JM Siskind
7th International Conference on Algorithmic Differentiation, 2016
22*2016
Automatic differentiation of algorithms for machine learning
AG Baydin, BA Pearlmutter
AutoML Workshop, International Conference on Machine Learning (ICML …, 2014
202014
Automated generation of cross-domain analogies via evolutionary computation
AG Baydin, R López de Mántaras, S Ontañón
International Conference on Computational Creativity (ICCC 2012), Dublin …, 2012
202012
Alpha MAML: Adaptive Model-Agnostic Meta-Learning
HS Behl, AG Baydin, PHS Torr
6th ICML Workshop on Automated Machine Learning, Thirty-Sixth International …, 2019
142019
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
132019
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
122019
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
122019
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
Tricks from Deep Learning
AG Baydin, BA Pearlmutter, JM Siskind
7th International Conference on Algorithmic Differentiation, 2016
92016
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
82017
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
F Soboczenski, MD Himes, MD O'Beirne, S Zorzan, AG Baydin, AD Cobb, ...
Third workshop on Bayesian Deep Learning (NeurIPS 2018), Montréal, Canada, 2018
42018
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
Transflow learning: Repurposing flow models without retraining
A Gambardella, AG Baydin, PHS Torr
arXiv preprint arXiv:1911.13270, 2019
32019
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Articles 1–20