:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lizaire, Maude, Rizvi-Martel, Michael, Hameed, Marawan Gamal Abdel, Rabusseau, Guillaume
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2406.05045
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the Role of Depth in the Expressivity of RNNs
par: Lizaire, Maude, et autres
Publié: (2026)

Efficient Probabilistic Tensor Networks
par: Hameed, Marawan Gamal Abdel, et autres
Publié: (2025)

ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
par: Hameed, Marawan Gamal Abdel, et autres
Publié: (2024)

Simulating Weighted Automata over Sequences and Trees with Transformers
par: Rizvi, Michael, et autres
Publié: (2024)

Model Merging via Data-Free Covariance Estimation
par: Hameed, Marawan Gamal Abdel, et autres
Publié: (2026)

The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models
par: Rizvi-Martel, Michael, et autres
Publié: (2026)

FlowQ-Net: A Generative Framework for Automated Quantum Circuit Design
par: Dai, Jun, et autres
Publié: (2025)

Numerical PDE solvers outperform neural PDE solvers
par: Chatain, Patrick, et autres
Publié: (2025)

Benefits and Limitations of Communication in Multi-Agent Reasoning
par: Rizvi-Martel, Michael, et autres
Publié: (2025)

Tensor Cookbook: Mastering Tensors through Diagrams
par: Rakhshan, Beheshteh T., et autres
Publié: (2026)

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
par: Heidari, Farzaneh, et autres
Publié: (2026)

Tractable Shapley Values and Interactions via Tensor Networks
par: Heidari, Farzaneh, et autres
Publié: (2025)

KQ-SVD: Compressing the KV Cache with Provable Guarantees on Attention Fidelity
par: Lesens, Damien, et autres
Publié: (2025)

Generative Learning of Continuous Data by Tensor Networks
par: Meiburg, Alex, et autres
Publié: (2023)

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
par: Omranpour, Soroush, et autres
Publié: (2024)

Higher-Order Transformers With Kronecker-Structured Attention
par: Omranpour, Soroush, et autres
Publié: (2024)

Grokking Finite-Dimensional Algebra
par: Notsawo, Pascal Jr Tikeng, et autres
Publié: (2026)

Grokking Beyond the Euclidean Norm of Model Parameters
par: Notsawo, Pascal Jr Tikeng, et autres
Publié: (2025)

T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs
par: Dizaji, Alireza, et autres
Publié: (2025)

UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
par: Huang, Shenyang, et autres
Publié: (2024)

ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation
par: Bakhtyari, Mohammadreza, et autres
Publié: (2025)

Enhancing Transformer RNNs with Multiple Temporal Perspectives
par: Dumitru, Razvan-Gabriel, et autres
Publié: (2024)

Efficient Leverage Score Sampling for Tensor Train Decomposition
par: Bharadwaj, Vivek, et autres
Publié: (2024)

Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications
par: Brandoit, Julien, et autres
Publié: (2026)

GFlowNets for Hamiltonian decomposition in groups of compatible operators
par: Huidobro-Meezs, Isaac L., et autres
Publié: (2024)

$\texttt{lrnnx}$: A library for Linear RNNs
par: Bania, Karan, et autres
Publié: (2026)

Were RNNs All We Needed?
par: Feng, Leo, et autres
Publié: (2024)

Memory Caching: RNNs with Growing Memory
par: Behrouz, Ali, et autres
Publié: (2026)

Tensor Dynamic Mode Decomposition
par: He, Ziqin, et autres
Publié: (2025)

Are Large Language Models Good Temporal Graph Learners?
par: Huang, Shenyang, et autres
Publié: (2025)

Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
par: Dangel, Felix
Publié: (2023)

Paradoxical noise preference in RNNs
par: Eckstein, Noah, et autres
Publié: (2026)

Mechanistic Interpretability of RNNs emulating Hidden Markov Models
par: Torre, Elia, et autres
Publié: (2025)

Fixed-Point RNNs: Interpolating from Diagonal to Dense
par: Movahedi, Sajad, et autres
Publié: (2025)

Pessimistic Iterative Planning with RNNs for Robust POMDPs
par: Galesloot, Maris F. L., et autres
Publié: (2024)

Functional Complexity-adaptive Temporal Tensor Decomposition
par: Chen, Panqi, et autres
Publié: (2025)

On Efficiently Representing Regular Languages as RNNs
par: Svete, Anej, et autres
Publié: (2024)

Does Transformer Interpretability Transfer to RNNs?
par: Paulo, Gonçalo, et autres
Publié: (2024)

Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
par: Qin, Zhen, et autres
Publié: (2024)

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs
par: Elshamy, Mohamed R., et autres
Publié: (2025)