DCASE-Models: A Python Library for Computational Environmental Sound Analysis using Deep-Learning Models. - Pablo Zinemanas; Ignacio Hounie; Pablo Cancela; Frederic Font; Martín Rocamora; Xavier Serra (DCASE, 2020)

Paco and Paco-Dct: Patch Consensus and Its Application To Inpainting. - Ignacio Ramírez Paulino; Ignacio Hounie (ICASSP, 2020)

Image Inpainting using Patch Consensus and DCT Priors. - Ignacio Ramírez Paulino; Ignacio Hounie (Image Process. Line, 2021)

Neural Networks with Quantization Constraints. - Ignacio Hounie; Juan Elenter; Alejandro Ribeiro (ICASSP, 2023)

Automatic Data Augmentation via Invariance-Constrained Learning. - Ignacio Hounie; Luiz F. O. Chamon; Alejandro Ribeiro (ICML, 2023)

Resilient Constrained Learning. - Ignacio Hounie; Alejandro Ribeiro; Luiz F. O. Chamon (NeurIPS, 2023)

Loss Shaping Constraints for Long-Term Time Series Forecasting. - Ignacio Hounie; Javier Porras-Valenzuela; Alejandro Ribeiro (ICML, 2024)

LoRTA: Low Rank Tensor Adaptation of Large Language Models. - Ignacio Hounie; Charilaos I. Kanatsoulis; Arnuv Tandon; Alejandro Ribeiro (CoRR, 2024)

Feasible Learning. - Juan Ramirez; Ignacio Hounie; Juan Elenter; Jose Gallego-Posada; Meraj Hashemizadeh; Alejandro Ribeiro; Simon Lacoste-Julien (AISTATS, 2025)

Alignment of large language models with constrained learning. - Botong Zhang; Shuo Li; Ignacio Hounie; Osbert Bastani; Dongsheng Ding; Alejandro Ribeiro (CoRR, 2025)

Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces. - Antonio Pariente; Ignacio Hounie; Santiago Segarra; Alejandro Ribeiro (CoRR, 2025)

Distilling On-device Language Models for Robot Planning with Minimal Human Intervention. - Zachary Ravichandran; Ignacio Hounie; Fernando Cladera; Alejandro Ribeiro; George J. Pappas; Vijay Kumar 001 (CoRR, 2025)