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ORCIDDaniel Severo 0001
Person information
- affiliation: University of Toronto, Department of Electrical & Computer Engineering, ON, Canada
- affiliation: Vector Institute for Artificial Intelligence, Toronto, ON, Canada
- affiliation (former): 3778 Healthcare, São Paulo, Brazil
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2020 – today
- 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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