4,439 records
- Reward-Conditioned Attention: How Reward Design Shapes What Autonomous Driving Agents See
- Neural operator-based digital twins for modeling amyloid-$β$ and tau propagation and treatment optimization in Alzheimer's disease
- GES-TSP: Graph Edge Sparsification for TSP
- Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra
- Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction
- Schemata, Cyclic Proofs and Herbrand Systems
- Stable Image Reconstruction via Two-Parameter Power-Scale Variation Minimization
- The Fractal Neural Operator: Overcoming Spectral Bias in Chaotic Attractors via Prime-Harmonic Weierstrass Encodings
- EML Trees Are Universal Approximators
- A Rank-Preserving Locality Theorem
- Quantum Advantage in Tolerant Junta Testing
- Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks
- Non-asymptotic estimates of the minimal risk in statistical learning
- A Relaxed Quadratic-Program-based Framework for Trajectory Tracking of Unicycle Robots with Singularity Avoidance
- Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime
- Exact and Fast Subset Selection Algorithms for the Bi-objective Integral R2 Indicator
- Computing Gaussian and exponential integrals in ${\Bbb R}^n$
- Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression
- Muown Implicitly Performs Angular Step-size Decay
- Open Problem: Is AdamW Effective Under Heavy-Tailed Noise?
- Importing soundness and completeness in modal logics
- Exact Schur-Sylvester Dimensionality Reductions for Non-Smooth Stochastic Complexity and Manifold Sampling
- Rationalizing collective revealed preferences with an application in fair resource allocation
- Multigrid Training for Molecular Generation using Graph Neural Networks
- Federated learning with heavy-tailed gradient noise and communication noise: a variance-reduction based algorithm
- Generative Robust Optimisation
- Clipping the Price of Adaptivity at the Tail
- How a computer might think
- On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA
- Human vs Machine Mathematical Difficulty on Project Euler: An Experimental Analysis
- Frequency-Domain Neural ODEs for Modeling Non-Linear Dynamical Systems
- An Asynchronous multi-rate Taylor method for Delay Differential Equations
- BASIL: Bayesian Application for Scientific Iteration and Learning
- DPLAN: Minimal Connectivity to Floorplan Generation
- Arc-Length Parameterized Interpolating Splines
- Counting and Sampling Anti-ferromagnetic Potts Models on Random Regular Bipartite Graphs in the Non-uniqueness Regime
- Setwise Distinguishable Permutations
- Fusing Backdoors, Machine Learning, and Optimization for Large-Scale Parametric Mixed-Integer Programs
- A Transport-Based Geometry of Belief-Cost
- The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning
- Efficient Domain Decomposition for the Helmholtz Equation on GPUs
- Closure Atlases and Local-to-Global Obstructions in Finite Closure Systems
- DeQL: A Decision Query Language for Prescriptive Analytics over Relational Data
- Learning universal approximations for partial differential equations with Physics-Informed Broad Learning System
- Finishing Oltean's Completeness Proof in Lean 4 for Hybrid Logic $L(\forall)$
- Doeblin Curves
- Global Convergence of Gradient Descent for Score Matching in Gaussian Mixtures via Reverse Fisher Divergence
- On the Oracle Complexity of Interpolation-Based Gradient Descent
- On the Robustness of Sparse Randomized Sketching to FP16 Rounding on GPUs
- Thermodynamic Measure of Intelligence