Követés
Atılım Güneş Baydin
Cím
Hivatkozott rá
Hivatkozott rá
Év
Automatic differentiation in machine learning: a survey
AG Baydin, BA Pearlmutter, AA Radul, JM Siskind
Journal of Machine Learning Research 18, 1-43, 2018
40842018
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
2832018
Towards global flood mapping onboard low cost satellites with machine learning
G Mateo-Garcia, J Veitch-Michaelis, L Smith, SV Oprea, G Schumann, ...
Scientific Reports 11 (1), 1-12, 2021
1902021
Inference compilation and universal probabilistic programming
TA Le, AG Baydin, F Wood
20th International Conference on Artificial Intelligence and Statistics …, 2017
1712017
Managing extreme AI risks amid rapid progress
Y Bengio, G Hinton, A Yao, D Song, P Abbeel, T Darrell, YN Harari, ...
Science 384 (6698), 842-845, 2024
1562024
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
1432017
Simulation intelligence: Towards a new generation of scientific methods
A Lavin, D Krakauer, H Zenil, J Gottschlich, T Mattson, J Brehmer, ...
arXiv preprint arXiv:2112.03235, 2021
1332021
Technology readiness levels for machine learning systems
A Lavin, CM Gilligan-Lee, A Visnjic, S Ganju, D Newman, S Ganguly, ...
Nature Communications 13 (1), 6039, 2022
1322022
Managing AI risks in an era of rapid progress
Y Bengio, G Hinton, A Yao, D Song, P Abbeel, YN Harari, YQ Zhang, ...
arXiv preprint arXiv:2310.17688, 2023
892023
Alpha MAML: Adaptive Model-Agnostic Meta-Learning
HS Behl, AG Baydin, PHS Torr
6th ICML Workshop on Automated Machine Learning, Thirty-Sixth International …, 2019
892019
Domain invariant representation learning with domain density transformations
AT Nguyen, T Tran, Y Gal, AG Baydin
Advances in Neural Information Processing Systems 34, 5264-5275, 2021
822021
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
822019
Gradients without backpropagation
AG Baydin, BA Pearlmutter, D Syme, F Wood, P Torr
arXiv preprint arXiv:2202.08587, 2022
752022
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
692019
Toward the end-to-end optimization of particle physics instruments with differentiable programming
T Dorigo, A Giammanco, P Vischia, M Aehle, M Bawaj, A Boldyrev, ...
Reviews in Physics 10, 100085, 2023
622023
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
622020
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
512019
KL Guided Domain Adaptation
T Nguyen, T Tran, Y Gal, P Torr, AG Baydin
Tenth International Conference on Learning Representations (ICLR), 2022
492022
DiffSharp: An AD Library for. NET Languages
AG Baydin, BA Pearlmutter, JM Siskind
7th International Conference on Algorithmic Differentiation, 2016
40*2016
Automatic differentiation of algorithms for machine learning
AG Baydin, BA Pearlmutter
AutoML Workshop, International Conference on Machine Learning (ICML …, 2014
402014
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Cikkek 1–20