Pierre-André Noël

According to our database, Pierre-André Noël authored at least 14 papers between 2011 and 2024.

Collaborative distances:

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

2024

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks.

Juan Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy DJ Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar

CoRR, 2024

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.

João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian

CoRR, 2024

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference.

João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection.

Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vázquez, João Monteiro

CoRR, 2023

Constraining Representations Yields Models That Know What They Don't Know.

João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Flaky Performances When Pretraining on Relational Databases (Student Abstract).

Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Flaky Performances when Pretraining on Relational Databases.

Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël

CoRR, 2022

2021

On the Value of ML Models.

Fabio Casati, Pierre-André Noël, Jie Yang

CoRR, 2021

2015

Quantifying dynamical spillover in co-evolving multiplex networks.

Vikram Vijayaraghavan, Pierre-André Noël, Zeev Maoz, Raissa M. D'Souza

CoRR, 2015

2014

Peeking into the invitation-based adoption process of OSN-based applications.

Mohammad Rezaur Rahman, Pierre-André Noël, Chen-Nee Chuah, Balachander Krishnamurthy, Raissa M. D'Souza, Shyhtsun Felix Wu

Comput. Commun. Rev., 2014

2012

Bond percolation on a class of correlated and clustered random graphs

Antoine Allard, Laurent Hébert-Dufresne, Pierre-André Noël, Vincent Marceau, Louis J. Dubé

CoRR, 2012

Exact solution of bond percolation on small arbitrary graphs

Antoine Allard, Laurent Hébert-Dufresne, Pierre-André Noël, Vincent Marceau, Louis J. Dubé

CoRR, 2012

2011

Modeling the dynamical interaction between epidemics on overlay networks

Vincent Marceau, Pierre-André Noël, Laurent Hébert-Dufresne, Antoine Allard, Louis J. Dubé

CoRR, 2011

Exact correspondence between a Markov process and propagation on networks

Pierre-André Noël, Antoine Allard, Laurent Hébert-Dufresne, Vincent Marceau, Louis J. Dubé

CoRR, 2011