Juan Elenter

According to our database, Juan Elenter authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Efficient Dataset Selection for Continual Adaptation of Generative Recommenders.

Cathy Jiao, Juan Elenter, Praveen Ravichandran, Bernd Huber, Joseph Cauteruccio, Todd Wasson, Timothy Christopher Heath, Chenyan Xiong, Mounia Lalmas, Paul N. Bennett

CoRR, April, 2026

Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify.

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

CoRR, March, 2026

2025

LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning.

Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Feasible Learning.

Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models.

Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal

CoRR, 2024

Near-Optimal Solutions of Constrained Learning Problems.

Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers.

Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro

CoRR, 2023

Neural Networks with Quantization Constraints.

Ignacio Hounie, Juan Elenter, Alejandro Ribeiro

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Lagrangian Duality Approach to Active Learning.

Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022