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4,439 records
- Approximating Matrix Functions with Deep Neural Networks and Transformers
- Interpretable Analytic Calabi-Yau Metrics via Symbolic Distillation
- Capacity Scaling Laws for Boundary-Induced Drift-Diffusion Noise Channels
- Multi-Agent Route Planning as a QUBO Problem
- Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities
- Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity
- V-ABFT: Variance-Based Adaptive Threshold for Fault-Tolerant Matrix Multiplication in Mixed-Precision Deep Learning
- Energy-Controllable Time Integration for Elastodynamic Contact
- Beltrami coefficient and angular distortion of discrete geometric mappings
- Mitigating Forgetting in Continual Learning with Selective Gradient Projection
- Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise
- Bandit Allocational Instability
- ODELoRA: Training Low-Rank Adaptation by Solving Ordinary Differential Equations
- Helly-type problems from a topological perspective
- VERIFY-RL: Verifiable Recursive Decomposition for Reinforcement Learning in Mathematical Reasoning
- Dynamical sequences: closure properties and automatic identity proving
- A Course on the Introduction to Quantum Software Engineering: Experience Report
- Escaping Spectral Bias without Backpropagation: Fast Implicit Neural Representations with Extreme Learning Machines
- Determining the Outerthickness of Graphs Is NP-Hard
- Expansive homeomorphisms on complexity quasi-metric spaces
- PurSAMERE: Reliable Adversarial Purification via Sharpness-Aware Minimization of Expected Reconstruction Error
- Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization
- Disentanglement by means of action-induced representations
- Structural bias in multi-objective optimisation
- Weisfeiler and Lehman Go Categorical
- Symbolic Integration in Weierstrass-like Extensions
- Topological Semantics for Common Inductive Knowledge
- Continuous-time reinforcement learning: ellipticity enables model-free value function approximation
- Featured Reproducing Kernel Banach Spaces for Learning and Neural Networks
- Convex Dominance in Deep Learning I: A Scaling Law of Loss and Learning Rate
- HALO: A Fine-Grained Resource Sharing Quantum Operating System
- Systematic Performance Assessment of Deep Material Networks for Multiscale Material Modeling
- Unsplittable Transshipments
- LCM decomposition of linear differential operators in positive characteristic
- NP-hardness of p-adic linear regression
- Improved Upper Bounds for Slicing the Hypercube
- Certified Learning under Distribution Shift: Sound Verification and Identifiable Structure
- The HyperFrog Cryptosystem: High-Genus Voxel Topology as a Trapdoor for Post-Quantum KEMs
- SpectraKAN: Conditioning Spectral Operators
- First Proof
- Semantic Search over 9 Million Mathematical Theorems
- A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms
- A Data Driven Structural Decomposition of Dynamic Games via Best Response Maps
- Smoothness Errors in Dynamics Models and How to Avoid Them
- Structure-First Point Cloud Learning with Mapper Region Graphs
- On Path-based Marginal Cost of Heterogeneous Traffic Flow for General Networks
- Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization
- Muon in Associative Memory Learning: Training Dynamics and Scaling Laws
- A Structural Equivalence of Symmetric TSP to a Constrained Group Steiner Tree Problem
- Variational Speculative Decoding: Rethinking Draft Training from Token Likelihood to Sequence Acceptance