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4,439 records
- 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
- Two-Parameter Flows for Learning Population Dynamics of Physical Systems
- Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks
- Semigroup Consistency as a Diagnostic for Learned Physics Simulators
- Online Learning on Hidden-Convex Losses via Algorithmic Equivalence: Optimal Regret, Geometric Barrier, and Bandit Feedback
- Phantom Transitions in Language Model Fine-Tuning: A Density-Matrix Analysis
- Spectral origin of the topological gap exponent d + η: mechanism, kernel, decomposition, and scope
- Solving Combinatorial Counting Problems with Weighted First-Order Model Counting
- Efficient DP-SGD for LLMs with Randomized Clipping
- Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs
- Improved Johnson-type Bounds for Insertion-Deletion Codes
- Anarchy in the swarm: Testing informed and uninformed diversity-enhancing mechanisms within PSO framework
- RECTOR: Priority-Aware Rule-Based Reranking for Compliance-Aware Autonomous Driving Trajectory Selection
- Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems
- Constraint-Anchored Attribution: Feasibility-Certified Counterfactuals and Bonferroni-PAC Sufficient Subsets for Neural CO Policies