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4,439 records
- The algebra of Krom logic programs
- MSC-CMA-ES: Structure-Aware Restarts for CMA-ES via Cyclic Nearest-Better Basin Discovery
- SILAGE: Memory-Efficient, Full-Gradient-Free Nonconvex Optimization for Nested Finite Sums
- Finite-Dimensional Type I von Neumann Algebras in PyTorch: A GPU-Accelerated Framework for Random Block-Diagonal Operators
- The Information-Theoretic Benefit of Shared Representations under Orthogonality Constraints
- Transformers Learn the Mestre-Nagao Heuristic
- Physics-conforming Latent Twins
- Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
- On Type Deception in Linear-Quadratic Differential Games
- PHINN: Persistent Homology Inspired Neural Network for Rare-Event Time Series Generation
- Bayesian 3D Steerable CNNs: Enabling Equivariance and Uncertainty Quantification Simultaneously
- Assembly Spaces: Formal Definitions and Fast Methods for Approximating Assembly Indices
- Automatic Differentiation from Scratch: How PyTorch Computes Gradients in Physics-Informed Neural Networks
- Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs
- Designing Efficient and Reachable Routes: The $k$-Step-Central Shortest Path Problem
- Robustness without Wrinkles: Parallel Simulation and Robust MPC for Certified Deformable Manipulation
- Structured Noise Adaptation for Sequential Bayesian Filtering with Embedded Latent Transfer Operators
- Block Tensor Rank of Sum-Rank Metric Codes
- Riemannian Metric Matching for Scalable Geometric Modeling of Distributions
- A Statistical and Machine Learning Framework for Operational Threshold Detection and Deployable Dispatch Controller Development in Hydrogen Multi-Energy Systems
- Which Directions Matter? Sparse Design for Affine Robust Optimization
- An Exposition of Five Candidates Suffice for a Majority
- Optimal Hidden-Target Learning for Online Inventory Optimization on General Convex Sets
- Bayesian Variational System Identification with Weak-Form Residual Likelihoods
- Optimality of Random Regular Graphs in Sparse Network Designs
- From Meta Idea to Advanced Mathematical Discovery -- Human-AI Co-Discovery of Sign-Embedding Quantum Algorithms
- Axiomatic shared-medium coordination for stigmergic systems
- Diffusion-Network Alignment: An Efficient Algorithm and Explicit Probability Bounds
- Certified World Models: Predictability Across Configuration, Horizon, and Resolution
- Touchard-Riordan Polynomials and Schur-positivity of Set Partitions
- The Curious Case of Reversible Elementary Second Order Cellular Automaton 115
- A $q$-analogue of the rational normal curve and linearized Reed-Solomon codes
- Embedding-based Methods for Linear Solver Performance Prediction
- Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers
- Subdivision-based isogeometric analysis for axisymmetric electromagnetic problems
- Temporal Conductance and Bounds on the Voter Model for Dynamic Networks
- $W-δ-μ$ dual codes and LCD codes
- Adjusted Cup-Product Neural Layer
- Operads for compositional reasoning in LLMs
- From Phase Semantics to Base-extension Semantics (and back)
- Sorries Are Not the Hard Part: An Expert-Review Case Study of a Semi-Autonomous Formalization
- Structure-Preserving Neural Surrogates with Tractable Uncertainty Quantification
- The relaxation complexity of the standard simplex is logarithmic
- Quadratic APN Functions in Dimension 8 via Gröbner Basis Search in a Self-Equivalence Subspace
- Graphical Analysis of Lifted Product Code Constructions
- A Rank-Preserving Gaifman Normal Form
- Reliable Error Estimation for PINNs: Lower and Upper A Posteriori Bounds
- A Riemannian Approach to Low-Rank Optimal Transport
- Nearly Instance Optimal Sparse Matrix Approximation from Matrix-Vector Products
- How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit