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Ignacio Hounie
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2020 – today
- 2025
[c7]Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien:
Feasible Learning. AISTATS 2025: 3925-3933
[i11]Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro
, Simon Lacoste-Julien:
Feasible Learning. CoRR abs/2501.14912 (2025)
[i10]Botong Zhang, Shuo Li, Ignacio Hounie, Osbert Bastani, Dongsheng Ding, Alejandro Ribeiro:
Alignment of large language models with constrained learning. CoRR abs/2505.19387 (2025)
[i9]Antonio Pariente, Ignacio Hounie, Santiago Segarra, Alejandro Ribeiro:
Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces. CoRR abs/2506.06557 (2025)
[i8]Zachary Ravichandran, Ignacio Hounie, Fernando Cladera, Alejandro Ribeiro, George J. Pappas, Vijay Kumar:
Distilling On-device Language Models for Robot Planning with Minimal Human Intervention. CoRR abs/2506.17486 (2025)
[i7]Shervin Khalafi, Ignacio Hounie, Dongsheng Ding, Alejandro Ribeiro:
Composition and Alignment of Diffusion Models using Constrained Learning. CoRR abs/2508.19104 (2025)
[i6]Ignacio Boero, Ignacio Hounie, Alejandro Ribeiro:
AL-CoLe: Augmented Lagrangian for Constrained Learning. CoRR abs/2510.20995 (2025)- 2024
[c6]Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro:
Loss Shaping Constraints for Long-Term Time Series Forecasting. ICML 2024
[i5]Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro
:
Loss Shaping Constraints for Long-Term Time Series Forecasting. CoRR abs/2402.09373 (2024)
[i4]Ignacio Hounie, Charilaos I. Kanatsoulis, Arnuv Tandon, Alejandro Ribeiro
:
LoRTA: Low Rank Tensor Adaptation of Large Language Models. CoRR abs/2410.04060 (2024)- 2023
[c5]Ignacio Hounie, Juan Elenter, Alejandro Ribeiro
:
Neural Networks with Quantization Constraints. ICASSP 2023: 1-5
[c4]Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro:
Automatic Data Augmentation via Invariance-Constrained Learning. ICML 2023: 13410-13433
[c3]Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon:
Resilient Constrained Learning. NeurIPS 2023
[i3]Ignacio Hounie, Alejandro Ribeiro
, Luiz F. O. Chamon:
Resilient Constrained Learning. CoRR abs/2306.02426 (2023)- 2022
[i2]Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro:
Automatic Data Augmentation via Invariance-Constrained Learning. CoRR abs/2209.15031 (2022)
[i1]Ignacio Hounie, Juan Elenter, Alejandro Ribeiro:
Neural Networks with Quantization Constraints. CoRR abs/2210.15623 (2022)- 2021
[j1]Ignacio Ramírez Paulino, Ignacio Hounie:
Image Inpainting using Patch Consensus and DCT Priors. Image Process. Line 11: 1-17 (2021)- 2020
[c2]Pablo Zinemanas, Ignacio Hounie, Pablo Cancela, Frederic Font, Martín Rocamora, Xavier Serra:
DCASE-Models: A Python Library for Computational Environmental Sound Analysis using Deep-Learning Models. DCASE 2020: 240-244
[c1]Ignacio Ramírez Paulino, Ignacio Hounie:
Paco and Paco-Dct: Patch Consensus and Its Application To Inpainting. ICASSP 2020: 5775-5779
Coauthor Index

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last updated on 2025-11-16 23:51 CET by the dblp team
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