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ORCIDDaniel Severo 0001
Person information
- affiliation: Meta, FAIR Labs, Montréal, Canada
- affiliation (PhD 2022): University of Toronto, Department of Electrical & Computer Engineering, ON, Canada
- affiliation (former): Vector Institute for Artificial Intelligence, Toronto, ON, Canada
- affiliation (former): 3778 Healthcare, São Paulo, Brazil
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2020 – today
- 2025
[c12]Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich:
Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. DCC 2025: 253-262- [c11]Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen:
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. ICLR 2025 - [i16]Daniel Severo, Giuseppe Ottaviano, Matthew J. Muckley, Karen Ullrich, Matthijs Douze:
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search. CoRR abs/2501.10479 (2025) - [i15]Daniel Severo, Brian Karrer, Niklas Nolte:
Learning Distributions over Permutations and Rankings with Factorized Representations. CoRR abs/2505.24664 (2025) - [i14]Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas Nolte, Brian Karrer:
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking. CoRR abs/2505.24857 (2025) - 2024
- [c10]Daniel Severo, Lucas Theis, Johannes Ballé:
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric. ICLR 2024 - [c9]Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend:
Entropy Coding of Unordered Data Structures. ICLR 2024 - [c8]Daniel Severo, Ashish Khisti, Alireza Makhzani:
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding. NeurIPS 2024 - [c7]Julius Kunze, Daniel Severo, Jan-Willem van de Meent, James Townsend:
Practical Shuffle Coding. NeurIPS 2024 - [i13]Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend:
Entropy Coding of Unordered Data Structures. CoRR abs/2408.08837 (2024) - [i12]Daniel Severo:
Random Permutation Codes: Lossless Source Coding of Non-Sequential Data. CoRR abs/2411.14879 (2024) - [i11]Daniel Severo, Ashish Khisti, Alireza Makhzani:
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding. CoRR abs/2412.00369 (2024) - [i10]Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen:
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. CoRR abs/2412.03487 (2024) - 2023
- [c6]Kirill Neklyudov
, Rob Brekelmans, Daniel Severo, Alireza Makhzani:
Action Matching: Learning Stochastic Dynamics from Samples. ICML 2023: 25858-25889 - [c5]Daniel Severo, James Townsend, Ashish J. Khisti, Alireza Makhzani:
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding. ICML 2023: 30633-30645 - [i9]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani:
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs. CoRR abs/2305.09705 (2023) - [i8]Daniel Severo, Lucas Theis, Johannes Ballé:
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric. CoRR abs/2310.05986 (2023) - 2022
- [j1]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets With Large Alphabets. IEEE J. Sel. Areas Inf. Theory 3(4): 605-615 (2022) - [c4]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets with Large Alphabets. DCC 2022: 322-331 - [c3]Elad Domanovitz, Daniel Severo, Ashish Khisti, Wei Yu:
Data-Driven Optimization for Zero-Delay Lossy Source Coding with Side Information. ICASSP 2022: 5203-5207 - [i7]Kirill Neklyudov, Daniel Severo, Alireza Makhzani:
Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples. CoRR abs/2210.06662 (2022) - 2021
- [c2]Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison:
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. ICML 2021: 9136-9147 - [i6]Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison:
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. CoRR abs/2102.11086 (2021) - [i5]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets with Large Alphabets. CoRR abs/2107.09202 (2021) - [i4]Daniel Severo, Elad Domanovitz, Ashish Khisti:
Regularized Classification-Aware Quantization. CoRR abs/2107.09716 (2021) - [i3]Henrique P. Silva, Arthur D. Reys, Daniel de Souza Severo, Dominique H. Ruther, Flávio A. O. B. Silva, Maria C. S. S. Guimarães, Roberto Z. A. Pinto, Saulo D. S. Pedro, Túlio P. Navarro, Danilo Silva:
Predição de Incidência de Lesão por Pressão em Pacientes de UTI usando Aprendizado de Máquina. CoRR abs/2112.13687 (2021) - 2020
- [c1]Arthur D. Reys, Danilo Silva, Daniel Severo, Saulo D. S. Pedro, Marcia M. de Souza e Sá, Guilherme A. C. Salgado:
Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes. BRACIS 2020: 566-580 - [i2]Arthur D. Reys, Danilo Silva, Daniel Severo, Saulo D. S. Pedro, Marcia M. de Souza e Sá, Guilherme A. C. Salgado:
Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes. CoRR abs/2008.01515 (2020)
2010 – 2019
- 2019
- [i1]Daniel Severo, Flávio Amaro, Estevam R. Hruschka Jr., André Soares de Moura Costa:
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward. CoRR abs/1910.00752 (2019)
Coauthor Index
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