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4,439 records
- Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
- The Careless Coupon Collector's Problem
- A Dynamic Survey of Soft Set Theory and Its Extensions
- Dynamic Symmetric Point Tracking: Tackling Non-ideal Reference in Analog In-memory Training
- Provably Safe Generative Sampling with Constricting Barrier Functions
- Deep Sequence Modeling with Quantum Dynamics: Language as a Wave Function
- A new Uncertainty Principle in Machine Learning
- Measurement-Free Ancilla Recycling via Blind Reset: A Cross-Platform Study on Superconducting and Trapped-Ion Processors
- A GPU-Accelerated Hybrid Method for a Class of Multi-Depot Vehicle Routing Problems
- Mirror Descent-Type Algorithms for the Variational Inequality Problem with Functional Constraints
- LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics
- OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
- Less is More: Convergence Benefits of Fewer Data Weight Updates over Longer Horizon
- Grokking Finite-Dimensional Algebra
- Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
- Spectral Phase Encoding for Quantum Kernel Methods
- CACTO-BIC: Scalable Actor-Critic Learning via Biased Sampling and GPU-Accelerated Trajectory Optimization
- Understanding the Curse of Unrolling
- Fast Linear Reservoirs via Diagonalization
- Parallelism and Adaptivity in Student-Teacher Witnessing
- On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
- A Computationally Efficient Multidimensional Vision Transformer
- Adaptation to Intrinsic Dependence in Diffusion Language Models
- trainsum -- A Python package for quantics tensor trains
- Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
- Shape-informed cardiac mechanics surrogates in data-scarce regimes via geometric encoding and generative augmentation
- GSNR: Graph Smooth Null-Space Representation for Inverse Problems
- Quantitative Approximation Rates for Group Equivariant Learning
- Exploiting Low-Rank Objective Structure in Discrete Quadratic Optimization
- Competition Versus Complexity in Multiple-Selection Prophet Inequalities
- Risk-Averse Wasserstein Distributionally Robust Online Learning
- A General Equilibrium Theory of Orchestrated AI Agent Systems
- Agentic Hives: Equilibrium, Indeterminacy, and Endogenous Cycles in Self-Organizing Multi-Agent Systems
- Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
- Incremental Learning of Sparse Attention Patterns in Transformers
- An efficient recursive decomposition algorithm for undirected graphs
- Hypersequent Calculi Have Ackermannian Complexity
- What Distributed Computing Got Wrong: The Category Mistake That Turned Design Choices into Laws of Nature
- Exponential Convergence of (Stochastic) Gradient Descent for Separable Logistic Regression
- Toward Manifest Relationality in Transformers via Symmetry Reduction
- Non-Stationary Online Resource Allocation: Learning from a Single Sample
- Comparative study of different quadrature methods for cut elements
- Unifying Formal Explanations: A Complexity-Theoretic Perspective
- Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver
- On A. V. Anisimov's problem for finding a polynomial algorithm checking inclusion of context-free languages in group languages
- G-LoG Bi-filtration for Medical Image Classification
- Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings
- Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Sharing
- JEPA-Bisim: Learning Robust Visual Representations for Planning with Joint-Embedding Predictive World Models
- The Category Mistake of Cislunar Time: Why NASA Cannot Synchronize What Doesn't Exist