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4,636 records
- Dynamics-Informed Deep Learning for Predicting Extreme Events
- A Formalization of Abstract Rewriting in Agda
- Ranking Reasoning LLMs under Test-Time Scaling
- Probabilistic Disjunctive Normal Forms in Temporal Logic and Automata Theory
- A Learning-Based Superposition Operator for Non-Renewal Arrival Processes in Queueing Networks
- Arithmetic limiting laws over shifted primes: dimension zero, Fourier decay, and absolute continuity
- On the PLS-Completeness of $k$-Opt Local Search for the Traveling Salesman Problem
- Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Continuation-Interest Protocol
- A Gaussian Comparison Theorem for Training Dynamics in Machine Learning
- Some polynomial classes for the acyclic orientation with parity constraint problem
- An Optimal Control Approach To Transformer Training
- Memorization capacity of deep ReLU neural networks characterized by width and depth
- Upper Generalization Bounds for Neural Oscillators
- A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference
- Prismatoid Band-Unfolding Revisited
- OptEMA: Adaptive Exponential Moving Average for Stochastic Optimization with Zero-Noise Optimality
- On the Width Scaling of Neural Optimizers Under Matrix Operator Norms I: Row/Column Normalization and Hyperparameter Transfer
- Stochastic Port-Hamiltonian Neural Networks: Universal Approximation with Passivity Guarantees
- Large Spikes in Stochastic Gradient Descent: A Large-Deviations View
- Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image Clustering
- Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific Computing
- Large chirotopes with computable numbers of triangulations
- Estimating Condition Number with Graph Neural Networks
- Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference
- Drag-Aware Aerodynamic Manipulability for Torque-Limited Redundant Multirotors: Aerodynamic Promptness based on the Symmetric Acceleration Capacity
- A new proof of Delahan's induced-universality result
- Capacity of Non-Separable Networks with Restricted Adversaries
- Central Limits via Dilated Categories
- Learning efficient representations of complex constraints for scalable optimization
- Agentic Neurosymbolic Collaboration for Mathematical Discovery: A Case Study in Combinatorial Design
- NN-OpInf: an operator inference approach using structure-preserving composable neural networks
- WELLDOC property for words generated by morphisms
- Context-Free Trees
- Group Entropies and Mirror Duality: A Class of Flexible Mirror Descent Updates for Machine Learning
- Time warping with Hellinger elasticity
- Quantization of Ricci Curvature in Information Geometry
- Feed m Birds with One Scone: Accelerating Multi-task Gradient Balancing via Bi-level Optimization
- Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part II
- Partial Differential Equations in the Age of Machine Learning: A Critical Synthesis of Classical, Machine Learning, and Hybrid Methods
- Step-Size Decay and Structural Stagnation in Greedy Sparse Learning
- Large Language Model for Discrete Optimization Problems: Evaluation and Step-by-step Reasoning
- Transferable Optimization Network for Cross-Domain Image Reconstruction
- A Lock-Free, Fully GPU-Resident Architecture for the Verification of Goldbach's Conjecture
- Margin in Abstract Spaces
- Design Experiments to Compare Multi-armed Bandit Algorithms
- Gradient Flow Polarizes Softmax Outputs towards Low-Entropy Solutions
- Learning Where the Physics Is: Probabilistic Adaptive Sampling for Stiff PDEs
- Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization
- Toward Generative Quantum Utility via Correlation-Complexity Map
- The DNA Coverage Depth Problem: Duality, Weight Distributions, and Applications