Juan Elenter

12 papers A* 3A 1Misc 1Journal 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify.
CoRR
Edoardo D'Amico, Marco De Nadai, Praveen Chandar, Divita Vohra, Shawn Lin, Max Lefarov, Paul Gigioli, Gustavo Penha, Ilya Kopysitsky, Ivo Joel Senese, Darren Mei, Francesco Fabbri, Oguz Semerci, Yu Zhao, Vincent Tang, Brian St. Thomas, Alexandra Ranieri, Matthew N. K. Smith, Aaron Bernkopf, Bryan Leung, Ghazal Fazelnia, Mark VanMiddlesworth, Timothy Christopher Heath, Petter Pehrson Skidén, Alice Y. Wang, Doug J. Cole, Andreas Damianou, Maya Hristakeva, Reid Wilbur, Tarun Chillara, Vladan Radosavljevic, Pooja Chitkara, Sainath Adapa, Juan Elenter, Bernd Huber, Jacqueline Wood, Saaketh Vedantam, Jan Stypka, Sandeep Ghael, Martin D. Gould, David Murgatroyd, Yves Raimond, Mounia Lalmas, Paul N. Bennett
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 A* conf
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning.
ICLR
Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2024 J jnl
ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models.
CoRR
Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2024 A* conf
Near-Optimal Solutions of Constrained Learning Problems.
ICLR
Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
2024 J jnl
Near-Optimal Solutions of Constrained Learning Problems.
CoRR
Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
2023 Misc conf
Neural Networks with Quantization Constraints.
ICASSP
Ignacio Hounie, Juan Elenter, Alejandro Ribeiro
2023 J jnl
Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers.
CoRR
Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro
2022 A* conf
A Lagrangian Duality Approach to Active Learning.
NeurIPS
Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro
2022 J jnl
A Lagrangian Duality Approach to Active Learning.
CoRR
Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro
2022 J jnl
Neural Networks with Quantization Constraints.
CoRR
Ignacio Hounie, Juan Elenter, Alejandro Ribeiro