Muckley, Matthew J.

9 publications

ICLR 2025 Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich

ICLR 2025 Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks Théophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze

NeurIPSW 2024 Consistency-Diversity-Realism Pareto Fronts of Conditional Image Generative Models Pietro Astolfi, Melissa Hall, Jakob Verbeek, Marlene Careil, Oscar Mañas, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal

ICML 2024 Residual Quantization with Implicit Neural Codebooks Iris A.M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud Van Sloun, Jakob Verbeek

ICLR 2024 Towards Image Compression with Perfect Realism at Ultra-Low Bitrates Marlene Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière

TMLR 2024 Training-Free Linear Image Inverses via Flows Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer

ICMLW 2024 Understanding and Mitigating Tokenization Bias in Language Models Buu Phan, Marton Havasi, Matthew J. Muckley, Karen Ullrich

TMLR 2023 Image Compression with Product Quantized Masked Image Modeling Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Herve Jegou

ICML 2023 Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Herve Jegou, Jakob Verbeek