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4,439 records
- Revisiting Anisotropy in Language Transformers: The Geometry of Learning Dynamics
- Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design
- Shocks without shock capturing: Information geometric regularization of finite volume methods for Navier--Stokes-like problems
- Polylab: A MATLAB Toolbox for Multivariate Polynomial Modeling
- FlowAdam: Implicit Regularization via Geometry-Aware Soft Momentum Injection
- Broken Quantum: A Systematic Formal Verification Study of Security Vulnerabilities Across the Open-Source Quantum Computing Simulator Ecosystem
- Towards National Quantum Communication in Europe: Planning and Sizing Terrestrial QKD Networks
- Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension
- Diffusion Processes on Implicit Manifolds
- Improving Feasibility in Quantum Approximate Optimization Algorithm for Vehicle Routing via Constraint-Aware Initialization and Hybrid XY-X Mixing
- The Random Subsequence Model and Uniform Codes for the Deletion Channel
- Weaves, Wires, and Morphisms: Formalizing and Implementing the Algebra of Deep Learning
- Improved Implementation of Approximate Full Mass Matrix Inverse Methods into Material Point Method Simulations
- Mathematical Analysis of Image Matching Techniques
- Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU
- Jeffreys Flow: Robust Boltzmann Generators for Rare Event Sampling via Parallel Tempering Distillation
- Selecting a Maximum Solow-Polasky Diversity Subset in General Metric Spaces Is NP-hard
- ResearchEVO: An End-to-End Framework for Automated Scientific Discovery and Documentation
- Improved space-time tradeoff for TSP via extremal set systems
- Improved Space-Time Tradeoffs for Permutation Problems via Extremal Combinatorics
- On Dominant Manifolds in Reservoir Computing Networks
- Late Breaking Results: Hardware-Efficient Quantum Reservoir Computing via Quantized Readout
- A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data
- Artificial Intelligence and the Structure of Mathematics
- Topological Characterization of Churn Flow and Unsupervised Correction to the Wu Flow-Regime Map in Small-Diameter Vertical Pipes
- SMT-AD: a scalable quantum-inspired anomaly detection approach
- Asymptotic-Preserving Neural Networks for Viscoelastic Parameter Identification in Multiscale Blood Flow Modeling
- The complexity of bisimilarity on pointmass processes
- AE-ViT: Stable Long-Horizon Parametric Partial Differential Equations Modeling
- Constrained Policy Optimization for Provably Fair Order Matching
- Optimizing Service Operations via LLM-Powered Multi-Agent Simulation
- Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks
- Beyond-Diagonal RIS For Enhanced Secrecy and Sensing Gains in Secure ISAC Networks: An Optimization Framework
- Quantum-inspired Ising machine using sparsified spin connectivity
- LRC codes over characteristic $2$
- Partially deterministic sampling for compressed sensing with denoising guarantees
- Failure of the strong feasible disjunction property
- Cryptanalysis of the Legendre Pseudorandom Function over Extension Fields
- Optimal Contest Beyond Convexity
- Stratifying Reinforcement Learning with Signal Temporal Logic
- Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization
- SMB algebras II: On the Constraint Satisfaction Problem over Semilattices of Mal'cev Blocks
- Formal specification and behavioral simulation of the holiday gift exchange game
- Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
- Accurate Residues for Floating-Point Debugging
- Uniform Sampling of Proper Graph Colorings via Soft Coloring and Partial Rejection Sampling
- Adaptive Tensor Network Simulation via Entropy-Feedback PID Control and GPU-Accelerated SVD
- Signotopes Induce Unique Sink Orientations on Grids
- Mechanism and Communication Co-Design for Differentially Private Energy Sharing
- Learning an Interpretable Risk Scoring System for Maximizing Decision Net Benefit