Felipe Pérez

According to our database1, Felipe Pérez authored at least 13 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Optimal Boundary Control of Diffusion on Graphs via Linear Programming.
CoRR, November, 2025

Document Summarization with Conformal Importance Guarantees.
CoRR, September, 2025

Investigating the Use of Competition and Cooperation-based Gamification in Computing Education: A Qualitative Study.
Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

2023
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers.
CoRR, 2022

MCL: Mixed-Centric Loss for Collaborative Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Pre-Processing Techniques for Improving a Topological Map-Matching Algorithm.
Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

Improving Non-Autoregressive Translation Models Without Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering.
Proceedings of the WWW '21: The Web Conference 2021, 2021

User Engagement Modeling with Deep Learning and Language Models.
Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

2020
TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Improving Transformer Optimization Through Better Initialization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Robust contextual models for in-session personalization.
Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019


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