4,439 records
- Subquadratic Counting via Perfect Marginal Sampling
- A virtual-variable-length method for robust inverse kinematics of multi-segment continuum robots
- AdamFlow: Adam-based Wasserstein Gradient Flows for Surface Registration in Medical Imaging
- Communication-Efficient Distributed Learning with Differential Privacy
- General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations
- Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor approach
- Quantum-Safe Code Auditing: LLM-Assisted Static Analysis and Quantum-Aware Risk Scoring for Post-Quantum Cryptography Migration
- On the average-case complexity landscape for Tensor-Isomorphism-complete problems over finite fields
- Embedded Variational Neural Stochastic Differential Equations for Learning Heterogeneous Dynamics
- Common TF-IDF variants arise as key components in the test statistic of a penalized likelihood-ratio test for word burstiness
- Performance of Neural and Polynomial Operator Surrogates
- An Unconditional Barrier for Proving Multilinear Algebraic Branching Program Lower Bounds
- Multicentric thrombus segmentation using an attention-based recurrent network with gradual modality dropout
- Enumerating Two-Orbit Graphs
- Differentially Private Manifold Denoising
- Rapid mixing in positively weighted restricted Boltzmann machines
- Stein Variational Uncertainty-Adaptive Model Predictive Control
- Sequential Sampling for Binary Classification: Two LLMs are (Almost) All You Need
- On the Construction of Recursively Differentiable Quasigroups and an Example of a Recursive $[4,2,3]_{26}$-Code
- Near-Optimal Parallel Approximate Counting via Sampling
- Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method
- Compositional Program Verification with Polynomial Functors in Dependent Type Theory
- An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis
- Approximating the Permanent of a Random Matrix with Polynomially Small Mean: Zeros and Universality
- Residuals-based Offline Reinforcement Learning
- The edge of the asymptotic spectrum of tensors
- Infeasibility Aware Large Language Models for Combinatorial Optimization
- Validity, Sparse Holes, and Breadth in Language Generation: Banach Density, Topology, and Geometry
- Hotspot-Aware Scheduling of Virtual Machines with Overcommitment for Ultimate Utilization in Cloud Datacenters
- Grading the Unspoken: Evaluating Tacit Reasoning in Quantum Field Theory and String Theory with LLMs
- Cell-induced densification and tether formation in fibrous extracellular matrices with biomimetic physics-informed neural networks
- Stochastic Dimension Implicit Functional Projections for Global Integral Conservation in High-Dimensional PINNs
- Denoising data reduction algorithm for Topological Data Analysis
- Computing Topological Transition Sets for Line-Line-Circle Trisectors in $R^3$
- Total Variation Guarantees for Sampling with Stochastic Localization
- The Geometry of Polynomial Group Convolutional Neural Networks
- SafeDMPs: Integrating Formal Safety with DMPs for Adaptive HRI
- Nonnegative Matrix Factorization in the Component-Wise L1 Norm for Sparse Data
- BioNetFlux: A Python Framework for Reaction--Diffusion--Chemotaxis Simulations on One-Dimensional Network Geometries
- Speeding Up Mixed-Integer Programming Solvers with Sparse Learning for Branching
- Softmax gradient policy for variance minimization and risk-averse multi armed bandits
- Learning to Shuffle: Block Reshuffling and Reversal Schemes for Stochastic Optimization
- Quantum-inspired Tensor Network for QUBO, QUDO and Tensor QUDO Problems with k-neighbors
- Koopman-based surrogate modeling for reinforcement-learning-control of Rayleigh-Benard convection
- FI-KAN: Fractal Interpolation Kolmogorov-Arnold Networks
- Geometry-aware similarity metrics for neural representations on Riemannian and statistical manifolds
- Foundations of Polar Linear Algebra
- Hybrid Quantum-Classical AI for Industrial Defect Classification in Welding Images
- A Robust Low-Rank Prior Model for Structured Cartoon-Texture Image Decomposition with Heavy-Tailed Noise
- High-Precision Computation and PSLQ Identification of Stokes Multipliers for Anharmonic Oscillators