Atılım Güneş Baydin
Atılım Güneş Baydin
University of Oxford
Vahvistettu sähköpostiosoite verkkotunnuksessa robots.ox.ac.uk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Automatic differentiation in machine learning: a survey
AG Baydin, BA Pearlmutter, AA Radul, JM Siskind
Journal of Machine Learning Research 18, 1-43, 2018
11082018
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
1162018
Inference compilation and universal probabilistic programming
TA Le, AG Baydin, F Wood
20th International Conference on Artificial Intelligence and Statistics …, 2017
1122017
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
812017
Alpha MAML: Adaptive Model-Agnostic Meta-Learning
HS Behl, AG Baydin, PHS Torr
6th ICML Workshop on Automated Machine Learning, Thirty-Sixth International …, 2019
372019
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
AG Baydin, L Shao, W Bhimji, L Heinrich, LF Meadows, J Liu, A Munk, ...
Proceedings of the International Conference for High Performance Computing …, 2019
272019
Automatic differentiation of algorithms for machine learning
AG Baydin, BA Pearlmutter
AutoML Workshop, International Conference on Machine Learning (ICML …, 2014
262014
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
252012
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
242019
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
232019
DiffSharp: An AD Library for. NET Languages
AG Baydin, BA Pearlmutter, JM Siskind
7th International Conference on Algorithmic Differentiation, 2016
23*2016
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
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
132017
Introducing an explicit symplectic integration scheme for Riemannian manifold Hamiltonian Monte Carlo
AD Cobb, AG Baydin, A Markham, SJ Roberts
arXiv preprint arXiv:1910.06243, 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
102016
Technology readiness levels for machine learning systems
A Lavin, CM Gilligan-Lee, A Visnjic, S Ganju, D Newman, S Ganguly, ...
arXiv preprint arXiv:2101.03989, 2021
72021
Black-Box Optimization with Local Generative Surrogates
S Shirobokov, V Belavin, M Kagan, A Ustyuzhanin, AG Baydin
Advances in Neural Information Processing Systems 34 (NeurIPS), 2020
6*2020
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
62018
Towards automated satellite conjunction management with Bayesian deep learning
F Pinto, G Acciarini, S Metz, S Boufelja, S Kaczmarek, K Merz, ...
arXiv preprint arXiv:2012.12450, 2020
52020
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Artikkelit 1–20