Gonzalvo, Javier

9 publications

TMLR 2025 How Iteration Composition Influences Convergence and Stability in Deep Learning Benoit Dherin, Benny Avelin, Anders Karlsson, Hanna Mazzawi, Javier Gonzalvo, Michael Munn

ICML 2024 Deep Fusion: Efficient Network Training via Pre-Trained Initializations Hanna Mazzawi, Javier Gonzalvo, Michael Wunder, Sammy Jerome, Benoit Dherin

NeurIPSW 2024 Majority Kernels: An Approach to Leverage Big Model Dynamics for Efficient Small Model Training Hanna Mazzawi, Pranjal Awasthi, Javier Gonzalvo, Srikumar Ramalingam

NeurIPS 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning Michael Munn, Benoit Dherin, Javier Gonzalvo

ICMLW 2023 A Margin-Based Multiclass Generalization Bound via Geometric Complexity Michael Munn, Benoit Dherin, Javier Gonzalvo

ICMLW 2023 Deep Fusion: Efficient Network Training via Pre-Trained Initializations Hanna Mazzawi, Javier Gonzalvo, Michael Wunder

NeurIPSW 2023 IngesTables: Scalable and Efficient Training of LLM-Enabled Tabular Foundation Models Scott Yak, Yihe Dong, Javier Gonzalvo, Sercan Arik

NeurIPSW 2022 AdaME: Adaptive Learning of Multisource Adaptationensembles Scott Yak, Javier Gonzalvo, Mehryar Mohri, Corinna Cortes

NeurIPS 2020 Agnostic Learning with Multiple Objectives Corinna Cortes, Mehryar Mohri, Javier Gonzalvo, Dmitry Storcheus