Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward. - Daniel Severo 001; Flávio Amaro; Estevam R. Hruschka Jr.; André Soares de Moura Costa (CoRR, 2019)

Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes. - Arthur D. Reys; Danilo Silva 001; Daniel Severo 001; Saulo D. S. Pedro; Marcia M. de Souza e Sá; Guilherme A. C. Salgado (BRACIS, 2020)

Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. - Yangjun Ruan; Karen Ullrich; Daniel Severo 001; James Townsend; Ashish Khisti; Arnaud Doucet; Alireza Makhzani; Chris J. Maddison (ICML, 2021)

Regularized Classification-Aware Quantization. - Daniel Severo 001; Elad Domanovitz; Ashish Khisti (CoRR, 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 001 (CoRR, 2021)

Data-Driven Optimization for Zero-Delay Lossy Source Coding with Side Information. - Elad Domanovitz; Daniel Severo 001; Ashish Khisti; Wei Yu 001 (ICASSP, 2022)

Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples. - Kirill Neklyudov; Daniel Severo 001; Alireza Makhzani (CoRR, 2022)

Compressing Multisets With Large Alphabets. - Daniel Severo 001; James Townsend; Ashish Khisti; Alireza Makhzani; Karen Ullrich (IEEE J. Sel. Areas Inf. Theory, 2022)

One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding. - Daniel Severo 001; James Townsend; Ashish J. Khisti; Alireza Makhzani (ICML, 2023)

Action Matching: Learning Stochastic Dynamics from Samples. - Kirill Neklyudov; Rob Brekelmans; Daniel Severo 001; Alireza Makhzani (ICML, 2023)

Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs. - Daniel Severo 001; James Townsend; Ashish Khisti; Alireza Makhzani (CoRR, 2023)

The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric. - Daniel Severo 001; Lucas Theis; Johannes Ballé (ICLR, 2024)

Entropy Coding of Unordered Data Structures. - Julius Kunze; Daniel Severo 001; Giulio Zani; Jan-Willem van de Meent; James Townsend (ICLR, 2024)

Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding. - Daniel Severo 001; Ashish Khisti; Alireza Makhzani (NeurIPS, 2024)

Practical Shuffle Coding. - Julius Kunze; Daniel Severo 001; Jan-Willem van de Meent; James Townsend (NeurIPS, 2024)

Random Permutation Codes: Lossless Source Coding of Non-Sequential Data. - Daniel Severo 001 (CoRR, 2024)

Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. - Daniel Severo 001; Jingtong Su; Anji Liu; Jeff Johnson; Brian Karrer; Guy Van den Broeck; Matthew J. Muckley; Karen Ullrich (DCC, 2025)

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. - Neta Shaul; Itai Gat; Marton Havasi; Daniel Severo 001; Anuroop Sriram; Peter Holderrieth; Brian Karrer; Yaron Lipman; Ricky T. Q. Chen (ICLR, 2025)

Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search. - Daniel Severo 001; Giuseppe Ottaviano; Matthew J. Muckley; Karen Ullrich; Matthijs Douze (CoRR, 2025)

Learning Distributions over Permutations and Rankings with Factorized Representations. - Daniel Severo 001; Brian Karrer; Niklas Nolte (CoRR, 2025)

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking. - Heli Ben-Hamu; Itai Gat; Daniel Severo 001; Niklas Nolte; Brian Karrer (CoRR, 2025)