| Automatic differentiation in machine learning: a survey AG Baydin, BA Pearlmutter, AA Radul, JM Siskind Journal of Machine Learning Research 18, 1-43, 2018 | 839 | 2018 |
| Inference compilation and universal probabilistic programming TA Le, AG Baydin, F Wood 20th International Conference on Artificial Intelligence and Statistics …, 2017 | 103 | 2017 |
| 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 | 97 | 2018 |
| 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 | 74 | 2017 |
| Alpha MAML: Adaptive Model-Agnostic Meta-Learning HS Behl, AG Baydin, PHS Torr 6th ICML Workshop on Automated Machine Learning, Thirty-Sixth International …, 2019 | 29 | 2019 |
| 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 | 27 | 2012 |
| Automatic differentiation of algorithms for machine learning AG Baydin, BA Pearlmutter AutoML Workshop, International Conference on Machine Learning (ICML …, 2014 | 23 | 2014 |
| 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 | 22 | 2019 |
| DiffSharp: An AD Library for. NET Languages AG Baydin, BA Pearlmutter, JM Siskind 7th International Conference on Algorithmic Differentiation, 2016 | 21* | 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 | 20 | 2012 |
| 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 | 18 | 2019 |
| 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 | 17 | 2019 |
| 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 | 12 | 2011 |
| 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 | 10 | 2017 |
| Tricks from Deep Learning AG Baydin, BA Pearlmutter, JM Siskind 7th International Conference on Algorithmic Differentiation, 2016 | 9 | 2016 |
| 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 | 8 | 2019 |
| 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 | 5 | 2021 |
| Transflow learning: Repurposing flow models without retraining A Gambardella, AG Baydin, PHS Torr arXiv preprint arXiv:1911.13270, 2019 | 5 | 2019 |
| 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 | 5 | 2018 |
| A semantic network-based evolutionary algorithm for computational creativity AG Baydin, RL de Mántaras, S Ontanón Evolutionary Intelligence 8 (1), 3-21, 2015 | 5* | 2015 |
Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
