Guillaume Rabusseau
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | KDD | T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs. | Alireza Dizaji, Benedict Aaron Tjandra, Mehrab Hamidi, Shenyang Huang, Guillaume Rabusseau |
| 2025 | ICML | Grokking Beyond the Euclidean Norm of Model Parameters. | Pascal Tikeng Notsawo Jr., Guillaume Dumas, Guillaume Rabusseau |
| 2024 | AISTATS | Length independent PAC-Bayes bounds for Simple RNNs. | Volodimir Mitarchuk, Clara Lacroce, Rmi Eyraud, Rmi Emonet, Amaury Habrard, Guillaume Rabusseau |
| 2024 | AISTATS | Simulating weighted automata over sequences and trees with transformers. | Michael Rizvi-Martel, Maude Lizaire, Clara Lacroce, Guillaume Rabusseau |
| 2024 | ICLR | Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. | Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Mller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters |
| 2024 | ICML | A Tensor Decomposition Perspective on Second-order RNNs. | Maude Lizaire, Michael Rizvi-Martel, Marawan Gamal Abdel Hameed, Guillaume Rabusseau |
| 2023 | PAKDD | Fast and Attributed Change Detection on Dynamic Graphs with Density of States. | Shenyang Huang, Jacob Danovitch, Guillaume Rabusseau, Reihaneh Rabbany |
| 2021 | AI | Understanding Capacity Saturation in Incremental Learning. | Shenyang Huang, Vincent Franois-Lavet, Guillaume Rabusseau |
| 2021 | AISTATS | Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. | Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller, Guillaume Rabusseau, Byron Boots |
| 2021 | AISTATS | A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. | Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier |
| 2021 | AISTATS | Tensor Networks for Probabilistic Sequence Modeling. | Jacob Miller, Guillaume Rabusseau, John Terilla |
| 2021 | ICALP | Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata. | Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup, Guillaume Rabusseau |
| 2020 | AISTATS | Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. | Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau |
| 2020 | AISTATS | Tensorized Random Projections. | Beheshteh T. Rakhshan, Guillaume Rabusseau |
| 2020 | IJCAI | On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). | Vincent Franois-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau |
| 2020 | KDD | Laplacian Change Point Detection for Dynamic Graphs. | Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany |
| 2019 | AISTATS | Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning. | Guillaume Rabusseau, Tianyu Li, Doina Precup |
| 2018 | AISTATS | Nonlinear Weighted Finite Automata. | Tianyu Li, Guillaume Rabusseau, Doina Precup |
| 2018 | FOSSACS | Minimization of Graph Weighted Models over Circular Strings. | Guillaume Rabusseau |
| 2016 | AISTATS | Low-Rank Approximation of Weighted Tree Automata. | Guillaume Rabusseau, Borja Balle, Shay B. Cohen |
| 2015 | LATA | Recognizable Series on Hypergraphs. | Raphal Bailly, Franois Denis, Guillaume Rabusseau |