Daniel Severo

According to our database, Daniel Severo authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search.

Daniel Severo, Giuseppe Ottaviano, Matthew J. Muckley, Karen Ullrich, Matthijs Douze

CoRR, January, 2025

2024

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

CoRR, 2024

Random Permutation Codes: Lossless Source Coding of Non-Sequential Data.

Daniel Severo

CoRR, 2024

Practical Shuffle Coding.

Julius Kunze, Daniel Severo, Jan-Willem van de Meent, James Townsend

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding.

Daniel Severo, Ashish Khisti, Alireza Makhzani

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Entropy Coding of Unordered Data Structures.

Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric.

Daniel Severo, Lucas Theis, Johannes Ballé

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs.

Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani

CoRR, 2023

Action Matching: Learning Stochastic Dynamics from Samples.

Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani

Proceedings of the International Conference on Machine Learning, 2023

One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding.

Daniel Severo, James Townsend, Ashish J. Khisti, Alireza Makhzani

Proceedings of the International Conference on Machine Learning, 2023

2022

Compressing Multisets With Large Alphabets.

Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich

IEEE J. Sel. Areas Inf. Theory, December, 2022

Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples.

Kirill Neklyudov, Daniel Severo, Alireza Makhzani

CoRR, 2022

Data-Driven Optimization for Zero-Delay Lossy Source Coding with Side Information.

Elad Domanovitz, Daniel Severo, Ashish Khisti, Wei Yu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Predição de Incidência de Lesão por Pressão em Pacientes de UTI usando Aprendizado de Máquina.

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

CoRR, 2021

Regularized Classification-Aware Quantization.

Daniel Severo, Elad Domanovitz, Ashish Khisti

CoRR, 2021

Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding.

Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes.

Arthur D. Reys, Danilo Silva, Daniel Severo, Saulo D. S. Pedro, Marcia M. de Souza e Sá, Guilherme A. C. Salgado

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward.

Daniel Severo, Flávio Amaro, Estevam R. Hruschka Jr., André Soares de Moura Costa

CoRR, 2019