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4,439 records
- Fast counting and sampling for ferromagnetic two-spin systems
- Rerouting Curves on Surfaces
- Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces
- Deep Reinforcement Learning for Dynamic Battery Management of Autonomous Order Pickers
- Benchmarking API Drift in LLM-Generated Quantum Code Across Successive SDK Versions
- Asymptotic Preservation and Uniform Accuracy of Diffusion and Flow-Matching Samplers
- A Gallager-Type Redundancy Bound for Binary Shannon-Fano Coding
- Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier
- Regime-Conditional Stabilisation of LLM-Augmented Cooperative Multi-Agent Reinforcement Learning
- Two Black Boxes, One Solver: Encoder Probing and Decoder Attribution for Neural Multi-Attribute VRP under Hard-Mask and Recourse Decoders
- Mean Time to Remediate Is Not a Fielding Model: A Cadence Audit for Enterprise Vulnerability Management
- Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic
- Empirical Minimal-Realisation Compression of Deep Neural Networks via Controllability-Observability Tests
- Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing
- LLM-Guided Transportation Hub Capacity Planning with Textual Business Inputs
- A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function
- PIEFS: Physics-Informed Eigenfunction Features with Learnable Scaling
- Robust Feasible Route Construction through Collaborative Partition Optimization
- Online Linear Programming for Multi-Objective Routing in LLM Serving
- Finite Observations, Infinite Behaviour: bicategorical semantics for stateful monoidal processes
- LLT: Local Linear Transformer for PDE Operator Learning
- Paths and Intersections: Repelling Pairs
- Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation?
- In-context learning from self-generated trajectories for adaptive model reduction
- Toward Satisfiability Modulo Realizability
- Reduced-Order Models: The Mother of World Models
- CSympNet-ID: conformal-symplectic map learning for linearly damped Hamiltonian systems
- The Multiscale Single-Index Model: A Stylized Model for Hierarchical Feature Learning
- Oddomorphisms, Split-Off Minors, and the Strong Roberson Conjecture
- On the Convergence of Adam, Revisited
- The disjoint separators problem in graphs
- Observer-Quotient Security: Composable Leakage Bounds for Hidden State Continuations
- Congestion Games with Heterogeneous Valuations: An Optimal Transport Approach
- Multi-Rate Nonlinear Model Predictive Control for Wall-Supported Bipedal Locomotion of Quadrupedal Robots
- Plug-and-Play Volumetric Reconstruction for Compressive Sensing Light-Sheet Microscopy
- A Mathematical Introduction to Diffusion Models
- Exploiting Task-Based Parallelism for the Red-Black Gauss-Seidel Method on 2D Grids
- Regularized Variational and Spectral Log-Density-Ratio Estimation in the Gaussian Location Model
- Hybrid quantum-classical neural network for sentiment analysis
- Benchmarking Quantum Software Testing with Scalable Quantum Programs
- Adaptive Reparametrized Time for Score-Based Diffusion Sampling
- Generalized Extended Codes with Applications in Entanglement-Assisted Qubit and Qutrit Codes
- An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks
- One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
- Deterministic Polynomial-time Exact-root Computation for Sparse Polynomials with Bounded Total Degree
- From Ham-Sandwich to Centerpoints: Semialgebraic Algorithms for Cutting Polytopal Measures
- Polynomial Algorithms for Minimum Degree Partitions in Semicomplete Digraphs
- Generative Modeling of Quantum Distribution with Functional Flow Matching
- Generalized Normal Constraint (GNC): A Complete Geometric Generalization of the NNC Method
- Accelerating Discrete Diffusion Models with Parallel-In-Time Sampling