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4,439 records
- Image AID via continuous-time reinforcement learning
- A Constraint Programming Approach for n-Day Lookahead Playoff Clinching in the NHL
- Unified generalization analysis for physics informed neural networks
- Byzantine-Robust Distributed Sparse Learning Revisited
- Delightful Exploration
- MPINeuralODE: Multiple-Initial-Condition Physics-Informed Neural ODEs for Globally Consistent Dynamical System Learning
- A Neural Hierarchical-Matrix Preconditioner for Real-Time GPU Solves
- Adequate Losses via Quantitative Linear Logic
- Strategic PAC Learnability via Geometric Definability
- Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity
- Monads and Distributive Laws in Substructural Contexts (Extended Version)
- Achieving $ε^{-2}$ Sample Complexity for Single-Loop Actor-Critic under Minimal Assumptions
- TinySDP: Real Time Semidefinite Optimization for Certifiable and Agile Edge Robotics
- SPLIT: SymPathy for Large jobs Improves Tail latency
- Elastica++: A high-performance, multiphysics framework for large interacting assemblies of Cosserat rods
- Symmetric Bounded Indistinguishability: Hypergeometric Smoothing and Hahn Polynomials
- Min-Max Optimization Requires Exponentially Many Queries
- Linear-Time T-Gate Optimization via Random Abstraction
- A foundational characterization of Hoare Logic
- Neural Fields for NV-Center Inverse Sensing
- Improved Speed via Regional Fulfillment
- HPC-vQPU: A Service-Export Architecture for Virtual QPUs on Batch-Scheduled HPC Systems
- Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies
- Learning Weakly Communicating Average-Reward CMDPs: Strong Duality and Improved Regret
- MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
- Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction
- A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design
- Maximum Entropy of Sums of Independent Ternary Random Variables
- Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters
- NPAP: Network Partitioning and Aggregation Package for Python
- Fused Gromov-Wasserstein Distance with Feature Selection
- Expected Batch Optimal Transport Plans and Consequences for Flow Matching
- Sure-almost-sure and Sure-limit-sure Window Mean Payoff in Markov Decision Processes
- Angle Between Two Vectors over Finite Fields and an Application to Projective Unique Decoding
- Harness Engineering as Categorical Architecture
- Approximation of Maximally Monotone Operators : A Graph Convergence Perspective
- Learning Minimally Rigid Graphs with High Realization Counts
- Simultaneously Minimizing Storage and Bandwidth Under Exact Repair With Quantum Entanglement
- Ensuring Logic in the Fog: Sound POMDP Synthesis with LTL Objectives
- UFO: A Domain-Unification-Free Operator Framework for Generalized Operator Learning
- Center-Manifold Reduction of Learning at Bifurcations: Interference and Rich Learning in Recurrent Neural Networks
- Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
- Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
- Quantum Precoded Polar Codes
- TriVAL: A Tri-Validation Framework for Faithful Automatic Optimization Modeling
- Higher-order Persistence Diagrams
- The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws
- Consolidation-Expansion Operator Mechanics:A Unified Framework for Adaptive Learning
- Chebyshev Center-Based Direction Selection for Multi-Objective Optimization and Training PINNs
- Optimizer-Induced Mode Connectivity: From AdamW to Muon