Martins, Andre

19 publications

ICML 2025 $∞$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation Saul Santos, António Farinhas, Daniel C Mcnamee, Andre Martins

ICML 2025 AdaSplash: Adaptive Sparse Flash Attention Nuno Gonçalves, Marcos V Treviso, Andre Martins

TMLR 2025 CroissantLLM: A Truly Bilingual French-English Language Model Manuel Faysse, Patrick Fernandes, Nuno M Guerreiro, António Loison, Duarte Miguel Alves, Caio Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, Andre Martins, Gautier Viaud, Celine Hudelot, Pierre Colombo

ICLRW 2025 Modern Hopfield Networks with Continuous-Time Memories Saul Santos, António Farinhas, Daniel C McNamee, Andre Martins

AISTATS 2025 Sparse Activations as Conformal Predictors Margarida M Campos, João Cálem, Sophia Sklaviadis, Mario A. T. Figueiredo, Andre Martins

ICLR 2024 Non-Exchangeable Conformal Risk Control António Farinhas, Chrysoula Zerva, Dennis Thomas Ulmer, Andre Martins

ICML 2024 Sparse and Structured Hopfield Networks Saul José Rodrigues Dos Santos, Vlad Niculae, Daniel C Mcnamee, Andre Martins

NeurIPSW 2023 Sparse Modern Hopfield Networks Andre Martins, Vlad Niculae, Daniel C McNamee

CLeaR 2022 Differentiable Causal Discovery Under Latent Interventions Gonçalo Rui Alves Faria, Andre Martins, Mario A. T. Figueiredo

NeurIPS 2022 Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes, Marcos Treviso, Danish Pruthi, André Martins, Graham Neubig

ICML 2022 Modeling Structure with Undirected Neural Networks Tsvetomila Mihaylova, Vlad Niculae, Andre Martins

ICLR 2022 Sparse Communication via Mixed Distributions António Farinhas, Wilker Aziz, Vlad Niculae, Andre Martins

NeurIPS 2020 Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity Gonçalo Correia, Vlad Niculae, Wilker Aziz, André Martins

ICML 2020 LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction Vlad Niculae, Andre Martins

NeurIPS 2020 Sparse and Continuous Attention Mechanisms André Martins, António Farinhas, Marcos Treviso, Vlad Niculae, Pedro Aguiar, Mario Figueiredo

AISTATS 2019 Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms Mathieu Blondel, Andre Martins, Vlad Niculae

ICML 2018 SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae, Andre Martins, Mathieu Blondel, Claire Cardie

ICML 2016 From SoftMax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification Andre Martins, Ramon Astudillo

NeurIPS 2014 Orbit Regularization Renato Negrinho, Andre Martins