Imagen de Portada

Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lin, Xingqi, Chen, Liangyu, Wu, Min, Zhang, Min, Zeng, Zhenbing
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Tighter Regret Bounds for Contextual Action-Set Reinforcement Learning
por: Chen, Zijun, et al.
Publicado: (2026)

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
por: Zhang, Junru, et al.
Publicado: (2026)

Provably Efficient Algorithms for S- and Non-Rectangular Robust MDPs with General Parameterization
por: Satheesh, Anirudh, et al.
Publicado: (2026)

Attention as an RNN
por: Feng, Leo, et al.
Publicado: (2024)

A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
por: Peng, Yang, et al.
Publicado: (2025)

The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
por: Kim, Yujun, et al.
Publicado: (2025)

Approximate Stein Classes for Truncated Density Estimation
por: Williams, Daniel J., et al.
Publicado: (2023)

Tighter sparse variational Gaussian processes
por: Bui, Thang D., et al.
Publicado: (2025)

Tighter Generalisation Bounds via Interpolation
por: Viallard, Paul, et al.
Publicado: (2024)

Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models
por: Bai, Jinbin, et al.
Publicado: (2026)

Tighter Confidence Bounds for Sequential Kernel Regression
por: Flynn, Hamish, et al.
Publicado: (2024)

Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization
por: Gadot, Uri, et al.
Publicado: (2023)

Orthogonal Approximate Message Passing with Optimal Spectral Initializations for Rectangular Spiked Matrix Models
por: Chen, Haohua, et al.
Publicado: (2025)

Tighter Risk Bounds for Mixtures of Experts
por: Akretche, Wissam, et al.
Publicado: (2024)

A Tighter Convergence Proof of Reverse Experience Replay
por: Jiang, Nan, et al.
Publicado: (2024)

Orthogonal Approximate Message Passing Algorithms for Rectangular Spiked Matrix Models with Rotationally Invariant Noise
por: Chen, Haohua, et al.
Publicado: (2026)

A Fast, Robust Elliptical Slice Sampling Implementation for Linearly Truncated Multivariate Normal Distributions
por: Wu, Kaiwen, et al.
Publicado: (2024)

A real-time battle situation intelligent awareness system based on Meta-learning & RNN
por: Li, Yuchun, et al.
Publicado: (2025)

Prism: Symbolic Superoptimization of Tensor Programs
por: Wu, Mengdi, et al.
Publicado: (2026)

Tighter Performance Theory of FedExProx
por: Anyszka, Wojciech, et al.
Publicado: (2024)

Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes
por: Kumar, Navdeep, et al.
Publicado: (2025)

Efficient Algorithms for Robust Markov Decision Processes with $s$-Rectangular Ambiguity Sets
por: Ho, Chin Pang, et al.
Publicado: (2026)

Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems
por: Zhi, Dapeng, et al.
Publicado: (2024)

RotRNN: Modelling Long Sequences with Rotations
por: Biegun, Kai, et al.
Publicado: (2024)

Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
por: Zhu, Feng, et al.
Publicado: (2025)

To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios
por: Takeshita, Sotaro, et al.
Publicado: (2026)

Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
por: Takeno, Shion, et al.
Publicado: (2023)

Label-NTK Alignments and A Tighter Convergence Bound in the NTK Regime
por: Marreddy, Ruchirinkil, et al.
Publicado: (2026)

PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
por: Jia, Yuxin, et al.
Publicado: (2024)

Non-Rectangular Average-Reward Robust MDPs: Optimal Policies and Their Transient Values
por: Wang, Shengbo, et al.
Publicado: (2026)

Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
por: Hwang, Taehyun, et al.
Publicado: (2022)

Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK
por: Yang, Hongru, et al.
Publicado: (2023)

HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction
por: Hu, Susu, et al.
Publicado: (2026)

In-Context Learning through the Bayesian Prism
por: Panwar, Madhur, et al.
Publicado: (2023)

Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone
por: Xiao, Yuan, et al.
Publicado: (2022)

STaR-Bets: Sequential Target-Recalculating Bets for Tighter Confidence Intervals
por: Voráček, Václav, et al.
Publicado: (2025)

Convolutional Rectangular Attention Module
por: Nguyen, Hai-Vy, et al.
Publicado: (2025)

Can Implicit Bias Imply Adversarial Robustness?
por: Min, Hancheng, et al.
Publicado: (2024)

Exploring Human-AI Conceptual Alignment through the Prism of Chess
por: Lomasov, Semyon, et al.
Publicado: (2025)

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases
por: Yang, Jinyu, et al.
Publicado: (2026)