4,439 records
- CTQWformer: A CTQW-based Transformer for Graph Classification
- HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations
- Deterministically finding an element of large order in $\mathbb{Z}_N^*$
- Minimal Filling Architectures of Polynomial Neural Networks: Counterexamples, Frontier Search, and Defects
- Geometry of Rényi Entropy on the Majorization Lattice
- Asymptotic Hausdorff and Language Similarity
- TreeWidzard: An Engine for Width-Based Dynamic Programming and Automated Theorem Proving
- Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework
- State Canonization and Early Pruning in Width-Based Automated Theorem Proving
- Integro-differential equations in angular stabilization of drone motion by distributed feedback control
- Sheaves as a Means of Maintaining Consistency in Model-based Systems Engineering
- The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning
- Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems
- A Controlled Study of Memory Hierarchy Transitions in Quantum Circuit Simulation on Apple M4 Pro Unified Memory Architecture
- Higher-Order Equilibrium Tracking for EM-Compressible Online Estimation
- TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection
- Diffusion Restore: Real-Time Markov Chain Monte Carlo Light Transport
- Muon Does Not Converge on Convex Lipschitz Functions
- CATO: Charted Attention for Neural PDE Operators
- Locational Pricing for Generative-AI Services via Token-Flow Market Clearing
- Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation
- An Overlapping Schwarz Space-Time Refinement Framework for Material Point Method
- Rao-Blackwellized Markov chain Monte Carlo Light Transport
- Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers
- Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability
- Towards Scalable Persistence-Based Topological Optimization
- Almost Sure Convergence Rates of Stochastic Approximation and Reinforcement Learning via a Poisson-Moreau Drift
- Sub-Gaussian Concentration and Entropic Normality of the Maximum Likelihood Estimator
- Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks
- Monotone Neural Policy Iteration for High-Dimensional First-Order Hamilton--Jacobi--Bellman Equations
- Relating the Computational and Logical Difficulty of Solving ODEs: From Polynomial to Discontinuous Right-Hand Sides
- TriP: A Triangle Puzzle Approach to Robust Translation Averaging
- Sample Complexity of Stochastic Optimization with Integer Variables
- EPTAS for Hard Graph Cut Problems for Dense Graphs
- Variable Aerodynamic Damping Actuation via Co-Contraction: A Structural Analogy with Variable Stiffness Actuation
- TREA: Low-precision Time-Multiplexed, Resource-Efficient Edge Accelerator for Object Detection and Classification
- QuadNorm: Resolution-Robust Normalization for Neural Operators
- Convex Optimization with Nested Evolving Feasible Sets
- Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
- Well-Quasi-Ordering Eulerian Digraphs: Bounded Carving Width
- SGD for Variational Inference: Tackling Unbounded Variance via Preconditioning and Dynamic Batching
- Direction-Preserving Number Representations
- The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting
- Training-Induced Escape from Token Clustering in a Mean-Field Formulation of Transformers
- Computing bases in Hermite normal form of lattices of integer relations
- Neural Operators as Efficient Function Interpolators
- Exploring the non-convexity in machine learning using quantum-inspired optimization
- Convergent Stochastic Training of Multi-Headed Attention and Understanding LoRA
- Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
- Hierarchical Mixture-of-Experts with Two-Stage Optimization