4,439 records
- Completely Independent Steiner Trees
- SAT + NAUTY: Orderly Generation of Small Kochen-Specker Sets Containing the Smallest State-independent Contextuality Set
- Current-State Opacity in Safe Partially Observed Quantum Petri Nets: True-Concurrency Semantics and Exact Symbolic Verification
- A 2-adjunction between representations and preorder morphisms
- Flow Shop Scheduling with Stochastic Reentry
- Neural Shape Operator Surrogates -- Expression Rate Bounds
- QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning
- Towards Symmetry-sensitive Pose Estimation: A Rotation Representation for Symmetric Object Classes
- EQE-QAOA: An Equivalence-Preserving Qubit Efficient Framework for Combinatorial Optimization
- Tabu Search for Tactical Wireless Network Design in Challenging Environments
- Nested Sequents for Horn-Characterizable Quantified Modal Logics with Equality via Reachability Rules
- Balance-Guided Sparse Identification of Multiscale Nonlinear PDEs with Small-coefficient Terms
- Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk
- Quantum inspired qubit qutrit neural networks for real time financial forecasting
- An Implicit Compact-Kernel Material Point Method for Computational Solid Mechanics
- Solving Stochastic Constraints by Oracle-based Gradient Descent and Interval Arithmetic
- On Drift Induced by Local Transition Asymmetry in Combinatorial State Spaces
- Phase-Scheduled Multi-Agent Systems for Token-Efficient Coordination
- Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells
- Diverse Dictionary Learning
- Recovery Guarantees for Continual Learning of Dependent Tasks: Memory, Data-Dependent Regularization, and Data-Dependent Weights
- A Stackelberg Game Framework with Drainability Guardrails for Pricing and Scaling in Multi-Tenant GPU Cloud Platforms
- Towards Fully Parameter-Free Stochastic Optimization: Grid Search with Self-Bounding Analysis
- Reference-state System Reliability method for scalable uncertainty quantification of coherent systems
- Contact-Aware Planning and Control of Continuum Robots in Highly Constrained Environments
- Hybrid Quantum-Classical PINNs for Scientific Computing: A Multi-GPU Open-Source Framework
- Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction
- Collective Kernel EFT for Pre-activation ResNets
- Frenetic Cat-inspired Particle Optimization: a Markov state-switching hybrid swarm optimizer with application to cardiac digital twinning
- Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics
- Module Lattice Security (Part I): Unconditional Verification of Weber's Conjecture for $k \le 12$
- Halfspace separation in geodesic convexity
- Parallelizing the branch-and-bound with isomorphism pruning algorithm for classifying orthogonal arrays
- Geometric regularization of autoencoders via observed stochastic dynamics
- Lower Bounds and Proximally Anchored SGD for Non-Convex Minimization Under Unbounded Variance
- Maximal quadrics over finite fields and minimal codewords of projective Reed-Muller codes
- Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations
- Evolution of Lane-Changing Behavior in Mixed Traffic: A Quantum Game Theory Approach
- Horizon-Constrained Rashomon Sets for Chaotic Forecasting
- CLion: Efficient Cautious Lion Optimizer with Enhanced Generalization
- Zeroth-Order Optimization at the Edge of Stability
- The Agentification of Scientific Research: A Physicist's Perspective
- Wasserstein Formulation of Reinforcement Learning. An Optimal Transport Perspective on Policy Optimization
- One-shot learning for the complex dynamical behaviors of weakly nonlinear forced oscillators
- Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios
- How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
- On Word Representations and Embeddings in Complex Matrices
- Python library supporting Discrete Variational Formulations and training solutions with Collocation-based Robust Variational Physics Informed Neural Networks (DVF-CRVPINN)
- StoSignSGD: Unbiased Structural Stochasticity Fixes SignSGD for Training Large Language Models
- Optimizing Stochastic Gradient Push under Broadcast Communications