Ignacio Hounie

19 papers A* 3A 1Misc 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AL-CoLe: Augmented Lagrangian for Constrained Learning. CoRR Ignacio Boero, Ignacio Hounie, Alejandro Ribeiro
2025	J	`jnl`	Alignment of large language models with constrained learning. CoRR Botong Zhang, Shuo Li, Ignacio Hounie, Osbert Bastani, Dongsheng Ding, Alejandro Ribeiro
2025	J	`jnl`	Composition and Alignment of Diffusion Models using Constrained Learning. CoRR Shervin Khalafi, Ignacio Hounie, Dongsheng Ding, Alejandro Ribeiro
2025	J	`jnl`	Distilling On-device Language Models for Robot Planning with Minimal Human Intervention. CoRR Zachary Ravichandran, Ignacio Hounie, Fernando Cladera, Alejandro Ribeiro, George J. Pappas, Vijay Kumar
2025	A	`conf`	Feasible Learning. AISTATS Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien
2025	J	`jnl`	Feasible Learning. CoRR Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien
2025	J	`jnl`	Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces. CoRR Antonio Pariente, Ignacio Hounie, Santiago Segarra, Alejandro Ribeiro
2024	J	`jnl`	LoRTA: Low Rank Tensor Adaptation of Large Language Models. CoRR Ignacio Hounie, Charilaos I. Kanatsoulis, Arnuv Tandon, Alejandro Ribeiro
2024	A*	`conf`	Loss Shaping Constraints for Long-Term Time Series Forecasting. ICML Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro
2024	J	`jnl`	Loss Shaping Constraints for Long-Term Time Series Forecasting. CoRR Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro
2023	A*	`conf`	Automatic Data Augmentation via Invariance-Constrained Learning. ICML Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
2023	Misc	`conf`	Neural Networks with Quantization Constraints. ICASSP Ignacio Hounie, Juan Elenter, Alejandro Ribeiro
2023	A*	`conf`	Resilient Constrained Learning. NeurIPS Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
2023	J	`jnl`	Resilient Constrained Learning. CoRR Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
2022	J	`jnl`	Automatic Data Augmentation via Invariance-Constrained Learning. CoRR Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
2022	J	`jnl`	Neural Networks with Quantization Constraints. CoRR Ignacio Hounie, Juan Elenter, Alejandro Ribeiro
2021	J	`jnl`	Image Inpainting using Patch Consensus and DCT Priors. Image Process. Line Ignacio Ramírez Paulino, Ignacio Hounie
2020	—	`conf`	DCASE-Models: A Python Library for Computational Environmental Sound Analysis using Deep-Learning Models. DCASE Pablo Zinemanas, Ignacio Hounie, Pablo Cancela, Frederic Font, Martín Rocamora, Xavier Serra
2020	Misc	`conf`	Paco and Paco-Dct: Patch Consensus and Its Application To Inpainting. ICASSP Ignacio Ramírez Paulino, Ignacio Hounie