Mario Lezcano Casado

According to our database, Mario Lezcano Casado authored at least 7 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Automatic Differentiation: Theory and Practice.

Mario Lezcano Casado

CoRR, 2022

Geometric Optimisation on Manifolds with Applications to Deep Learning.

Mario Lezcano Casado

CoRR, 2022

2020

Adaptive and Momentum Methods on Manifolds Through Trivializations.

Mario Lezcano Casado

CoRR, 2020

Curvature-Dependant Global Convergence Rates for Optimization on Manifolds of Bounded Geometry.

Mario Lezcano Casado

CoRR, 2020

2019

Trivializations for Gradient-Based Optimization on Manifolds.

Mario Lezcano Casado

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group.

Mario Lezcano Casado, David Martínez-Rubio

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators.

Mario Lezcano Casado, Atilim Gunes Baydin, David Martínez-Rubio, Tuan Anh Le, Frank D. Wood, Lukas Heinrich, Gilles Louppe, Kyle Cranmer, Karen Ng, Wahid Bhimji, Prabhat

CoRR, 2017