Severo, Daniel

12 publications

NeurIPS 2025 Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas Nolte, Brian Karrer

ICLR 2025 Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen

ICLR 2024 Entropy Coding of Unordered Data Structures Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend

NeurIPS 2024 Practical Shuffle Coding Julius Kunze, Daniel Severo, Jan-Willem van de Meent, James Townsend

NeurIPS 2024 Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding Daniel Severo, Ashish Khisti, Alireza Makhzani

ICLR 2024 The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric Daniel Severo, Lucas Theis, Jona Ballé

ICML 2023 Action Matching: Learning Stochastic Dynamics from Samples Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani

ICMLW 2023 Entropy Coding of Unordered Data Structures Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend

ICML 2023 One-Shot Compression of Large Edge-Exchangeable Graphs Using Bits-Back Coding Daniel Severo, James Townsend, Ashish J Khisti, Alireza Makhzani

NeurIPSW 2022 Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples Kirill Neklyudov, Daniel Severo, Alireza Makhzani

ICLRW 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish J Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison

NeurIPSW 2021 Your Dataset Is a Multiset and You Should Compress It like One Daniel Severo, James Townsend, Ashish J Khisti, Alireza Makhzani, Karen Ullrich