- Learning Minimally Rigid Graphs with High Realization Counts
Oleksandr Slyvka, Jan Rubeš, Rodrigo Alves, Jan Legerský
arXivSource: arxiv.orgMay 12, 2026cs.LGscore 0
- Simultaneously Minimizing Storage and Bandwidth Under Exact Repair With Quantum Entanglement
Lei Hu, Mohamed Nomeir, Alptug Aytekin, Sennur Ulukus
arXivSource: arxiv.orgMay 12, 2026cs.ITscore 0
- Ensuring Logic in the Fog: Sound POMDP Synthesis with LTL Objectives
Can Zhou, Yulong Gao, Pian Yu
arXivSource: arxiv.orgMay 12, 2026cs.LOscore 0
- UFO: A Domain-Unification-Free Operator Framework for Generalized Operator Learning
Hanli Qiao, George Em Karniadakis, Muhammad Muniruzzaman
arXivSource: arxiv.orgMay 12, 2026cs.LGscore 0
- Center-Manifold Reduction of Learning at Bifurcations: Interference and Rich Learning in Recurrent Neural Networks
James Hazelden, Eric Shea-Brown
arXivSource: arxiv.orgMay 12, 2026cs.LGscore 0
- Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
Alejandro Murillo-Gonzalez, Mahmoud Ali, Lantao Liu
arXivSource: arxiv.orgMay 12, 2026cs.ROscore 0
- Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
Maximino Linares, Guillaume Doras, Thomas Hélie
arXivSource: arxiv.orgMay 12, 2026cs.LGscore 0
- Quantum Precoded Polar Codes
Tyler Kann, Shrinivas Kudekar, Matthieu R. Bloch
arXivSource: arxiv.orgMay 12, 2026cs.ITscore 0
- TriVAL: A Tri-Validation Framework for Faithful Automatic Optimization Modeling
Ziyang Fang, JinXi Wang, Jinghui Zhong, Yew-Soon Ong
arXivSource: arxiv.orgMay 12, 2026cs.CLscore 0
- Higher-order Persistence Diagrams
Charles Fanning, Mehmet Aktas
arXivSource: arxiv.orgMay 11, 2026cs.CGscore 0
- The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws
Eslam Zaher, Maciej Trzaskowski, Quan Nguyen, Fred Roosta
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Consolidation-Expansion Operator Mechanics:A Unified Framework for Adaptive Learning
Debashis Guha
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Chebyshev Center-Based Direction Selection for Multi-Objective Optimization and Training PINNs
Hoyeol Yoon, Seoungbin Bae, Nam Ho-Nguyen, Dabeen Lee
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Optimizer-Induced Mode Connectivity: From AdamW to Muon
Fangzhao Zhang, Sungyoon Kim, Erica Zhang, Yiqi Jiang, Mert Pilanci
arXivSource: arxiv.orgMay 11, 2026cs.AIscore 0
- Learning to Sparsify Stochastic Linear Bandits
Zhengmiao Wang, Ming Chi, Zhi-Wei Liu, Lintao Ye, Carla Fabiana Chiasserini
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- jNO: A JAX Library for Neural Operator and Foundation Model Training
Leon Armbruster, Rathan Ramesh, Georg Kruse, Christopher Straub
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Just Previsions
Jean Goubault-Larrecq
arXivSource: arxiv.orgMay 11, 2026cs.LOscore 0
- The Vote-Left Equilibrium: A Deterministic Coordination Strategy for the Faithful in The Traitors
Vince Knight
arXivSource: arxiv.orgMay 11, 2026cs.GTscore 0
- Generalization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEs
Koichi Taniguchi, Sho Sonoda
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization
Hengrui Zhang, Boao Kong, Engao Zhang, Kun Yuan
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Signature Approach for Contextual Bandits with Nonlinear and Path-dependent Rewards
Xin Guo, Grace He, Xinyu Li
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- PowerStep: Memory-Efficient Adaptive Optimization via $\ell_p$-Norm Steepest Descent
Yao Lu, Dengdong Fan, Shixun Zhang, Yonghong Tian
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Learning-Based Spectrum Cartography in Low Earth Orbit Satellite Networks: A Survey
Liping Tao, Xindi Tong, Chee Wei Tan
arXivSource: arxiv.orgMay 11, 2026cs.NIscore 0
- LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
Zhinan Hou, Xingchen Li, Yankai Zhang, Tianxun Li, Keyou You
arXivSource: arxiv.orgMay 11, 2026cs.AIscore 0
- Don't Fix the Basis -- Learn It: Spectral Representation with Adaptive Basis Learning for PDEs
Xuxiang Zhao, Angelica I. Aviles-Rivero
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- A Note on Banaszczyk's Inequality
Hongyuan Qu, Chengliang Tian, Guangwu Xu
arXivSource: arxiv.orgMay 11, 2026cs.CRscore 0
- Optimal Repair Bandwidth and Repair I/O of $(n,n-2,2)$ MDS Array Codes
Huawei Wu
arXivSource: arxiv.orgMay 11, 2026cs.ITscore 0
- A Spectral Framework for Closed-Form Relative Density Estimation
Francis Bach
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Natural Policy Gradient as Doubly Smoothed Policy Iteration: A Bellman-Operator Framework
Phalguni Nanda, Zaiwei Chen
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Kernel-Gradient Drifting Models
Maria Esteban-Casadevall, Jorge Carrasco-Pollo, Max Welling, Jan-Willem van de Meent, Erik J. Bekkers, Floor Eijkelboom
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Constant time testability of first-order logic with modulo counting on finitary graphs
Isolde Adler, Jenny Stimpson
arXivSource: arxiv.orgMay 11, 2026cs.LOscore 0
- GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms
Juan Diego Toscano, Zhaojie Chai, George Em Karniadakis
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Steerable Neural ODEs on Homogeneous Spaces
Emma Andersdotter, Daniel Persson, Fredrik Ohlsson
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion
Arif Dönmez, Axel Mosig, Ellen Fritsche, Katharina Koch
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Muon is Not That Special: Random or Inverted Spectra Work Just as Well
Zakhar Shumaylov, Nathaël Da Costa, Peter Zaika, Bálint Mucsányi, Alex Massucco, Yoav Gelberg, Carola-Bibiane Schönlieb, Yarin Gal
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning
Ege C. Kaya, Aliasghar Pourghani, Vijay Gupta, Abolfazl Hashemi
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Error whitening: Why Gauss-Newton outperforms Newton
Maricela Best McKay, Nathan P. Lawrence, Brian Wetton, R. Bhushan Gopaluni
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis
Taiki Miyagawa, Akinori F. Ebihara
arXivSource: arxiv.orgMay 11, 2026cs.LGscore 0
- MC$^2$: Monte Carlo Correction for Fast Elliptic PDE Solving
Ethan Hsu, Hong Meng Yam, Ivan Ge
arXivSource: arxiv.orgMay 10, 2026cs.LGscore 0
- Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates
Anik Kumar Paul, Nibedita Roy, Nagesh Talagani, Swetha Ganesh, Gugan Thoppe, Alexandre Reiffers-Masson
arXivSource: arxiv.orgMay 10, 2026cs.LGscore 0
- Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts
Ilay Yavlovich, Jad Agbaria, Muhamed Mhamed, Nir Weinberger, Jose Yallouz
arXivSource: arxiv.orgMay 10, 2026cs.LGscore 0
- Universal Feature Selection with Noisy Observations and Weak Symmetry Conditions
Dier Tang, Guangyue Han
arXivSource: arxiv.orgMay 10, 2026cs.ITscore 0
- CTQWformer: A CTQW-based Transformer for Graph Classification
Zhan Li, Wuqing Yu, Yusen Wu, Chuan Wang
arXivSource: arxiv.orgMay 10, 2026cs.LGscore 0
- HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations
Lennon J. Shikhman
arXivSource: arxiv.orgMay 10, 2026cs.LGscore 0
- Deterministically finding an element of large order in $\mathbb{Z}_N^*$
Itamar Nir
arXivSource: arxiv.orgMay 10, 2026cs.DSscore 0
- Minimal Filling Architectures of Polynomial Neural Networks: Counterexamples, Frontier Search, and Defects
Kevin Dao, Jose Israel Rodriguez
arXivSource: arxiv.orgMay 10, 2026cs.LGscore 0
- Geometry of Rényi Entropy on the Majorization Lattice
Anuj Kumar Yadav, Yanina Y. Shkel
arXivSource: arxiv.orgMay 10, 2026cs.ITscore 0
- Asymptotic Hausdorff and Language Similarity
Dana Fisman, Gal Meirom
arXivSource: arxiv.orgMay 10, 2026cs.FLscore 0
- TreeWidzard: An Engine for Width-Based Dynamic Programming and Automated Theorem Proving
Mateus de Oliveira Oliveria, Sam Urmian
arXivSource: arxiv.orgMay 10, 2026cs.DSscore 0
- Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework
Wenbin Wang, Colin N. Jones
arXivSource: arxiv.orgMay 10, 2026cs.LGscore 0