4,439 records
- Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems
- Reasoning with Sampling: Cutting at Decision Points
- Majorization precursors to supermodularity and subadditivity on the majorization lattice
- Delayed Repression and Emergent Instability in Adaptive Multi-Agent Systems
- A Unified Framework for Gradient Aggregation in Multi-Objective Optimization
- DisjunctiveNet: Neural Symbolic Learning via Differentiable Convexified Optimization Layers
- Exploiting Chordal Sparsity for Globally Optimal Estimation with Factor Graphs
- Convergence of Steepest Descent and Adam under Non-Uniform Smoothness
- Decentralized Parameter-Free Online Learning with Compressed Gossip
- Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
- Natural Locomotion: Principle and Method
- Hybrid Neural World Models
- Fault Tolerance of Accelerated Asynchronous Fixed-Point Iterations on Flexible Computing Infrastructure
- Locally recoverable codes from elliptic surfaces with availability and hierarchical locality
- Integrated Exploration-Aware UAV Route Optimization and Path Planning
- History-aware adaptive reduced-order models via incremental singular value decomposition
- A Fresh Look at Lamarckian Evolution and the Baldwin Effect
- Optimal Rates for Differentially Private Hypothesis Testing with E-values
- The Hamilton-Jacobi Theory of Deep Learning
- Diffusion Model-Based Data Assimilation for Real-World Energy Consumption Forecasting
- Do Deep Networks Forget Initialization? A Forgetting-Time View of Practical Inductive Bias
- Information-Geometric Optimization on Spheres
- Low Soundness Linearity Testing on the Half-Slice
- SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning
- Recursive Flow Matching
- A proof-theoretic approach to abstract interpretation
- Reducing Internal State in Eigenvalue-Only Divide-and-Conquer Tridiagonal Eigensolvers
- Euclidean Steiner Shallow-Light Trees in Higher Dimensions
- Bilevel Optimization over Saddle Points of Zero-Sum Markov Games
- Developing a Totally Unimodular Linear Program for Optimal Conformance Checking: When and Why It Complements A*
- Convergence of Spectral Descent for Non-smooth Optimization
- Many Logics, One Methodology: A Plea for Logical Pluralism in Formalised Reasoning (preprint)
- PINNsur: Physics-Informed Neural Networks for PDEs on Curved Surfaces
- On the Automorphism Groups of Berman Codes and associated Abelian Codes
- Probabilistic Smoothing with Ratio-Monotone Transforms for Global Optimization
- Shortest Path Problem with Subnormal Gaussian Fuzzy Costs
- A Note on Boosting Uncloneable Encryption in Microcrypt
- QSignAI: Quantum-Randomness-Seeded Identity Signatures at the Intersection of AI for Science and Science for AI
- On the evolution of the concept of probability as a mirror of the evolution of reason
- A Viscosity Semigroup Framework for Stable Image Reconstruction
- Slow Convergence of Ising and Spin Glass Models with Well-Separated Frustrated Vertices
- A Hamiltonian-Inspired Local-Operator Ansatz for Slimming Large Language Models
- Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
- EMA-Nesterov: Stabilizing Nesterov's Lookahead for Accelerated Deep Learning Optimization
- Autoregression-Free Neural Operators for Time-Dependent PDEs
- The Privacy Subsidy in Continuous-Time Kyle: Cumulative Welfare under Noise-Perturbed Order-Flow Observation
- Weighted Clique and Independent Set in Edge-Distant Hereditary Graphs
- Optimal and Order-optimal Gated Priority-based Greedy Policies for Two-layer Multi-item Order Fulfillment
- On the Complexity of Bilevel Independent Set Problem
- Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models