Mario Lezcano Casado

According to our database, Mario Lezcano Casado authored at least 11 papers between 2017 and 2026.

Collaborative distances:

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

2026

Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using F_2.

Keren Zhou, Mario Lezcano Casado, Adam P. Goucher, Akhmed Rakhmati, Jeff Niu, Justin Lebar, Pawel Szczerbuk, Peter Bell, Phil Tillet, Thomas Raoux, Zahi Moudallal

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using 𝔽₂.

Keren Zhou, Mario Lezcano, Adam Goucher, Akhmed Rakhmati, Jeff Niu, Justin Lebar, Pawel Szczerbuk, Peter Bell, Phil Tillet, Thomas Raoux, Zahi Moudallal

CoRR, May, 2025

2024

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation.

Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem.

Aaron Meurer, Athan Reines, Ralf Gommers, Yao-Lung L. Fang, John Kirkham, Matthew Barber, Stephan Hoyer, Andreas Müller, Sheng Zha, Saul Shanabrook, Stephannie Jiménez Gacha, Mario Lezcano Casado, Thomas J. Fan, Tyler Reddy, Alexandre Passos, Hyukjin Kwon, Travis E. Oliphant, Consortium for Python Data API Standards

Proceedings of the 22nd Python in Science Conference, 2023

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