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2020-12
Horizontal gene transfer and recombination analysis of SARS-CoV-2 genes helps discover its close relatives and shed light on its origin
2020-11
Approximate Minimization of Weighted Tree Automata
2020-10
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata.
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning
Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces.
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
2020-08
Laplacian Change Point Detection for Dynamic Graphs.
2020-07
Laplacian Change Point Detection for Dynamic Graphs.
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract).
2020-03
Tensor Networks for Language Modeling.
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning.
Tensor Networks for Probabilistic Sequence Modeling
2020-02
Provably efficient reconstruction of policy networks.
2020-01
Tensorized Random Projections.
AISTATS 2020
(2020-01-01)
proceedings.mlr.press[LATEST on arXiv preprint arXiv:2003.05101 (2020-03-11)]2019-11
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
AISTATS 2019
(2019-11-01)
proceedings.mlr.press[LATEST on arXiv preprint arXiv:1911.05010 (2019-11-12)]2019-09
Neural Architecture Search for Class-incremental Learning.
2019-05
2018-12
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.
2018-07
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
AISTATS 2018
(2018-07-04)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1807.01406 (2018-07-04)]2018-03
Nonlinear Weighted Finite Automata
2018-02
Sequential Coordination of Deep Models for Learning Visual Arithmetic
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