Guillaume Rabusseau

Mach. Learn., May, 2024

Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, April, 2024

GFlowNets for Hamiltonian decomposition in groups of compatible operators.

[BibT_eX]

[DOI]

Isaac L. Huidobro-Meezs

Jun Dai

Rodrigo A. Vargas-Hernández

CoRR, 2024

UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

ROSA: Random Subspace Adaptation for Efficient Fine-Tuning.

[BibT_eX]

[DOI]

Marawan Gamal Abdel Hameed

Aristides Milios

Siva Reddy

CoRR, 2024

Towards Neural Scaling Laws for Foundation Models on Temporal Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.

[BibT_eX]

[DOI]

Heiner Stuckenschmidt

Reihaneh Rabbany

CoRR, 2024

Efficient Leverage Score Sampling for Tensor Train Decomposition.

[BibT_eX]

[DOI]

Vivek Bharadwaj

Beheshteh T. Rakhshan

Osman Asif Malik

Marawan Gamal Abdel Hameed

CoRR, 2024

A Tensor Decomposition Perspective on Second-order RNNs.

[BibT_eX]

[DOI]

Maude Lizaire

Michael Rizvi-Martel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Simulating weighted automata over sequences and trees with transformers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Length independent PAC-Bayes bounds for Simple RNNs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Generative Learning of Continuous Data by Tensor Networks.

[BibT_eX]

[DOI]

Alejandro Perdomo-Ortiz

CoRR, 2023

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.

[BibT_eX]

[DOI]

CoRR, 2023

Optimal Approximate Minimization of One-Letter Weighted Finite Automata.

[BibT_eX]

[DOI]

CoRR, 2023

Explaining Graph Neural Networks Using Interpretable Local Surrogates.

[BibT_eX]

[DOI]

Farzaneh Heidari

Perouz Taslakian

Proceedings of the Topological, 2023

Fast and Attributed Change Detection on Dynamic Graphs with Density of States.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Temporal Graph Benchmark for Machine Learning on Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Low-Rank Representation of Reinforcement Learning Policies.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

Approximate minimization of weighted tree automata.

[BibT_eX]

[DOI]

Inf. Comput., 2022

Spectral Regularization: an Inductive Bias for Sequence Modeling.

[BibT_eX]

[DOI]

Kaiwen Hou

CoRR, 2022

Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata.

[BibT_eX]

[DOI]

Bogdan Mazoure

CoRR, 2022

Towards an AAK Theory Approach to Approximate Minimization in the Multi-Letter Case.

[BibT_eX]

[DOI]

Clara Lacroce

Prakash Panangaden

CoRR, 2022

High-Order Pooling for Graph Neural Networks with Tensor Decomposition.

[BibT_eX]

[DOI]

Chenqing Hua

Jian Tang

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

2021

Rademacher Random Projections with Tensor Networks.

[BibT_eX]

[DOI]

Beheshteh T. Rakhshan

CoRR, 2021

Lower and Upper Bounds on the VC-Dimension of Tensor Network Models.

[BibT_eX]

[DOI]

Behnoush Khavari

CoRR, 2021

Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application.

[BibT_eX]

[DOI]

CoRR, 2021

Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models.

[BibT_eX]

[DOI]

Behnoush Khavari

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Extracting Weighted Automata for Approximate Minimization in Language Modelling.

[BibT_eX]

[DOI]

Clara Lacroce

Prakash Panangaden

Proceedings of the 15th International Conference on Grammatical Inference, 2021

Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata.

[BibT_eX]

[DOI]

Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

Tensor Networks for Probabilistic Sequence Modeling.

[BibT_eX]

[DOI]

Jacob Miller

John Terilla

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Quantum Tensor Networks, Stochastic Processes, and Weighted Automata.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Understanding Capacity Saturation in Incremental Learning.

[BibT_eX]

[DOI]

Shenyang Huang

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020

Adaptive Tensor Learning with Tensor Networks.

[BibT_eX]

[DOI]

CoRR, 2020

RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning.

[BibT_eX]

[DOI]

Stefano Alletto

Shenyang Huang

Yohei Nakata

CoRR, 2020

Tensor Networks for Language Modeling.

[BibT_eX]

[DOI]

Jacob Miller

John Terilla

CoRR, 2020

Provably efficient reconstruction of policy networks.

[BibT_eX]

[DOI]

CoRR, 2020

Laplacian Change Point Detection for Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tensorized Random Projections.

[BibT_eX]

[DOI]

Beheshteh T. Rakhshan

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Recognizable series on graphs and hypergraphs.

[BibT_eX]

[DOI]

Raphaël Bailly

J. Comput. Syst. Sci., 2019

On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2019

Neural Architecture Search for Class-incremental Learning.

[BibT_eX]

[DOI]

Shenyang Huang

CoRR, 2019

Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.

[BibT_eX]

[DOI]

Jackie Chi Kit Cheung

CoRR, 2018

Sequential Coordination of Deep Models for Learning Visual Arithmetic.

[BibT_eX]

[DOI]

Eric Crawford

Joelle Pineau

CoRR, 2018

Learning Graph Weighted Models on Pictures.

[BibT_eX]

[DOI]

Philip Amortila

Proceedings of the 14th International Conference on Grammatical Inference, 2018

Minimization of Graph Weighted Models over Circular Strings.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Software Science and Computation Structures, 2018

Nonlinear Weighted Finite Automata.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Tensor Regression Networks with various Low-Rank Tensor Approximations.

[BibT_eX]

[DOI]

Xingwei Cao

Joelle Pineau

CoRR, 2017

Neural Network Based Nonlinear Weighted Finite Automata.

[BibT_eX]

[DOI]

CoRR, 2017

Hierarchical Methods of Moments.

[BibT_eX]

[DOI]

Matteo Ruffini

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multitask Spectral Learning of Weighted Automata.

[BibT_eX]

[DOI]

Joelle Pineau

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Higher-Order Low-Rank Regression.

[BibT_eX]

[DOI]

Hachem Kadri

CoRR, 2016

Low-Rank Regression with Tensor Responses.

[BibT_eX]

[DOI]

Hachem Kadri

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Low-Rank Approximation of Weighted Tree Automata.

[BibT_eX]

[DOI]

Shay B. Cohen

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Weighted Tree Automata Approximation by Singular Value Truncation.

[BibT_eX]

[DOI]

Shay B. Cohen

CoRR, 2015

Recognizable Series on Hypergraphs.

[BibT_eX]

[DOI]

Raphaël Bailly

Proceedings of the Language and Automata Theory and Applications, 2015

2014

Learning Negative Mixture Models by Tensor Decompositions.

[BibT_eX]

[DOI]

CoRR, 2014

Maximizing a Tree Series in the Representation Space.

[BibT_eX]

[DOI]