Liu, Tianlin

12 publications

ICLR 2025 Adaptive Methods Through the Lens of SDEs: Theoretical Insights on the Role of Noise Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Norbert Proske, Antonio Orvieto, Aurelien Lucchi

ICML 2025 Joint Learning of Energy-Based Models and Their Partition Function Michael Eli Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel

ICML 2025 Loss Functions and Operators Generated by F-Divergences Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael Eli Sander, Mathieu Blondel

ICML 2024 Decoding-Time Realignment of Language Models Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel

TMLR 2024 Routers in Vision Mixture of Experts: An Empirical Study Tianlin Liu, Mathieu Blondel, Carlos Riquelme Ruiz, Joan Puigcerver

NeurIPSW 2024 SeisLM: A Foundation Model for Seismic Waveforms Tianlin Liu, Jannes Münchmeyer, Laura Laurenti, Chris Marone, Maarten V. de Hoop, Ivan Dokmanić

TMLR 2024 WaveBench: Benchmarking Data-Driven Solvers for Linear Wave Propagation PDEs Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanić

ICLR 2023 Sparsity-Constrained Optimal Transport Tianlin Liu, Joan Puigcerver, Mathieu Blondel

ICLR 2022 Universal Approximation Under Constraints Is Possible with Transformers Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanić

AAAI 2020 Causally Denoise Word Embeddings Using Half-Sibling Regression Zekun Yang, Tianlin Liu

ICML 2020 Finding Trainable Sparse Networks Through Neural Tangent Transfer Tianlin Liu, Friedemann Zenke

AAAI 2019 Unsupervised Post-Processing of Word Vectors via Conceptor Negation Tianlin Liu, Lyle H. Ungar, João Sedoc