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4,439 records
- Online Min-Max Optimization: From Individual Regrets to Cumulative Saddle Points
- Domain Knowledge Guided Bayesian Optimization For Autonomous Alignment Of Complex Scientific Instruments
- Generalized Decidability via Brouwer Trees
- Simple generators of rational function fields
- Natural Hypergradient Descent: Algorithm Design, Convergence Analysis, and Parallel Implementation
- Tuning the burn-in phase in training recurrent neural networks improves their performance
- Implicit representations via the polynomial method
- Stability Analysis of Geometric Control for a Canonical Class of Underactuated Aerial Vehicles with Spurious Forces
- MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning
- How Many Features Can a Language Model Store Under the Linear Representation Hypothesis?
- An Improved Upper Bound for the Euclidean TSP Constant Using Band Crossovers
- Toward Adaptive Non-Intrusive Reduced-Order Models: Design and Challenges
- WSBD: Freezing-Based Optimizer for Quantum Neural Networks
- A Theory for Probabilistic Polynomial-Time Reasoning
- Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training
- Dieu khien he da tac tu
- Stability and Concentration in Nonlinear Inverse Problems with Block-Structured Parameters: Lipschitz Geometry, Identifiability, and an Application to Gaussian Splatting
- Adaptive recurrent flow map operator learning for reaction diffusion dynamics
- Learning to Discover Iterative Spectral Algorithms
- Optimal Control of Microswimmers for Trajectory Tracking Using Bayesian Optimization
- On the complexity of Sandwich Problems for $M$-partitions
- Physics-informed diffusion models in spectral space
- Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings
- Spinel: A Post-Quantum Signature Scheme Based on $\mathrm{SL}_n(\mathbb{F}_p)$ Hashing
- Effectiveness of Binary Autoencoders for QUBO-Based Optimization Problems
- Versor: A Geometric Sequence Architecture
- Adaptive Optimization via Momentum on Variance-Normalized Gradients
- Neural Network Quantum Field Theory from Transformer Architectures
- ImprovEvolve: Basin-Hopping Meets LLM-Guided Evolutionary Search
- Solving Geodesic Equations with Composite Bernstein Polynomials for Trajectory Planning
- UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra
- Distributionally Robust Geometric Joint Chance-Constrained Optimization: Neurodynamic Approaches
- Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer
- Radial Müntz-Szász Networks: Neural Architectures with Learnable Power Bases for Multidimensional Singularities
- The Connection between Kriging and Large Neural Networks
- UAV-Supported Maritime Search System: Experience from Valun Bay Field Trials
- Boltzmann sampling and optimal exact-size sampling for directed acyclic graphs
- Time-Delayed Transformers for Data-Driven Modeling of Low-Dimensional Dynamics
- A Machine Learning Enabled MDO for Bio-Inspired Autonomous Underwater Gliders
- Automatic regularization parameter choice for tomography using a double model approach
- An arithmetic method algorithm optimizing k-nearest neighbors compared to regression algorithms and evaluated on real world data sources
- Trellis codes with a good distance profile constructed from expander graphs
- Impredicativity in Linear Dependent Type Theory
- Reduced-order Control and Geometric Structure of Learned Lagrangian Latent Dynamics
- Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
- ARO: A New Lens On Matrix Optimization For Large Models
- From Adam to Adam-Like Lagrangians: Second-Order Nonlocal Dynamics
- Quantum-Inspired Self-Attention in a Large Language Model
- Mathematical Foundations of Modeling ETL Process Chains
- Low-distortion planar embedding of rod-based structures