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Guillaume Rabusseau

Université de Montréal (from arXiv:2101.10249, 2021) · ORCID · OpenAlex

10 papers in scope · 9 published · 2 on the econ.EM arXiv · 71 citations · h-index 5 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Muhammad Jehangir Amjad
  2. Devavrat Shah
  3. Dennis Shen
  4. Yingjie Feng
  5. Rocío Titiunik
  6. Matias D. Cattaneo
  7. Anish Agarwal
  8. Vishal Misra
  9. Keegan Harris
  10. Muhummad Amjad
  11. Zhiwei Steven Wu
  12. Emma Frejinger
  13. Greta Laage
  14. Andrea Lodi
  15. Guido W. Imbens
  16. Jason Coupet
  17. Mani Bayani
  18. Jared Amani Greathouse
  19. Samhitha Narasipura
  20. Daniel Hsu

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 10)

ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation
published2026 · IEEE Access
with Mohammadreza Bakhtyari, Bogdan Mazoure, Renato Cordeiro de Amorim, Vladimir Makarenkov
IEEE Access
Generative learning of continuous data by tensor networks
published2025 · SciPost Physics · 4 citations · first circulated 2023
with Alex Meiburg, Jing Chen, Jacob Miller, Raphaëlle Tihon, Alejandro Perdomo-Ortiz
SciPost Physics
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs
published2023 · ACM Transactions on Knowledge Discovery from Data · 12 citations
with Shenyang Huang, Samy Coulombe, Yasmeen Hitti, Reihaneh Rabbany
ACM Transactions on Knowledge Discovery from Data
Connecting weighted automata, tensor networks and recurrent neural networks through spectral learning
published2022 · Machine Learning · 21 citations · first circulated 2018
with Tianyu Li, Doina Precup
Machine Learning
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
published2021 · International Conference on Artificial Intelligence and Statistics · 16 citations · first circulated 2020
with Thang Doan, Mehdi Bennani, Bogdan Mazoure, Pierre Alquier
International Conference on Artificial Intelligence and Statistics
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
published2021 · International Conference on Artificial Intelligence and Statistics · 4 citations · first circulated 2020
with Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller, Byron Boots
International Conference on Artificial Intelligence and Statistics
Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?
working paper2021 · arXiv · 1 citations
with Greta Laage, Emma Frejinger, Andrea Lodi
Paper profile arXiv arXiv:2101.10249
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
published2019 · International Conference on Artificial Intelligence and Statistics · 1 citations
with Tianyu Li, Bogdan Mazoure, Doina Precup
International Conference on Artificial Intelligence and Statistics
Nonlinear Weighted Finite Automata
published2018 · International Conference on Artificial Intelligence and Statistics · 5 citations
with Tianyu Li, Doina Precup, Bogdan Mazoure
International Conference on Artificial Intelligence and Statistics
Multitask Spectral Learning of Weighted Automata
published2017 · Neural Information Processing Systems · 7 citations
with Borja Balle, Joëlle Pineau
no link

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.