Mario Lezcano Casado

11 papers A* 2Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using F_2. ASPLOS (1) Keren Zhou, Mario Lezcano Casado, Adam P. Goucher, Akhmed Rakhmati, Jeff Niu, Justin Lebar, Pawel Szczerbuk, Peter Bell, Phil Tillet, Thomas Raoux, Zahi Moudallal
2023	—	`conf`	Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem. SciPy 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
2022	J	`jnl`	Automatic Differentiation: Theory and Practice. CoRR Mario Lezcano Casado
2022	J	`jnl`	Geometric Optimisation on Manifolds with Applications to Deep Learning. CoRR Mario Lezcano Casado
2020	J	`jnl`	Adaptive and Momentum Methods on Manifolds Through Trivializations. CoRR Mario Lezcano Casado
2020	J	`jnl`	Curvature-Dependant Global Convergence Rates for Optimization on Manifolds of Bounded Geometry. CoRR Mario Lezcano Casado
2019	A*	`conf`	Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group. ICML Mario Lezcano Casado, David Martínez-Rubio
2019	J	`jnl`	Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group. CoRR Mario Lezcano Casado, David Martínez-Rubio
2019	A*	`conf`	Trivializations for Gradient-Based Optimization on Manifolds. NeurIPS Mario Lezcano Casado
2019	J	`jnl`	Trivializations for Gradient-Based Optimization on Manifolds. CoRR Mario Lezcano Casado
2017	J	`jnl`	Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators. CoRR 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