关注
Mario Lezcano-Casado
Mario Lezcano-Casado
在 maths.ox.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
M Lezcano-Casado, D Martínez-Rubio
36th International Conference on Machine Learning 97 (Proceedings of Machine …, 2019
2202019
Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation
J Ansel, E Yang, H He, N Gimelshein, A Jain, M Voznesensky, B Bao, ...
Proceedings of the 29th ACM International Conference on Architectural …, 2024
1572024
Trivializations for gradient-based optimization on manifolds
M Lezcano-Casado
Advances in Neural Information Processing Systems (NeurIPS), 9154-9164, 2019
1292019
Improving normalizing flows via better orthogonal parameterizations
A Golinski, M Lezcano-Casado, T Rainforth
ICML Workshop on Invertible Neural Networks and Normalizing Flows, 2019
162019
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators
M Lezcano-Casado, AG Baydin, DM Rubio, TA Le, F Wood, L Heinrich, ...
Deep Learning for Physical Sciences workshop (NeurIPS, 2017
10*2017
Curvature-dependant global convergence rates for optimization on manifolds of bounded geometry
M Lezcano-Casado
arXiv preprint arXiv:2008.02517, 2020
92020
Adaptive and momentum methods on manifolds through trivializations
M Lezcano-Casado
arXiv preprint arXiv:2010.04617, 2020
72020
Geometric optimisation on manifolds with applications to deep learning
M Lezcano-Casado
arXiv preprint arXiv:2203.04794, 2022
42022
Compiled inference with probabilistic programming for large-scale scientific simulations
M Lezcano-Casado
University of Oxford, 2017
32017
Automatic Differentiation: Theory and Practice
M Lezcano-Casado
arXiv preprint arXiv:2207.06114, 2022
12022
Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem
A Meurer, A Reines, R Gommers, YLL Fang, J Kirkham, M Barber, ...
2023
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