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4,439 records
- Complement Submodular Information Measures for Balanced and Robust Data Selection
- The Closure of LCD-to-GI Reductions via Generalized Inner Products
- Any-Dimensional Invariant Universality
- Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation
- Entropy Equivalence Testing
- Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks
- On the Approximate Non-Deterministic Degree of Total Boolean Functions
- Instance-Optimal Estimation with Multiple LLM Judges on a Budget
- Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization
- Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
- Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them
- Commutator-Induced Uncertainty in VAEs
- Non-normal spectral signatures of instability in neural network training dynamics
- Is Dimensionality a Barrier for Retrieval Models?
- Optimization of randomized neural networks for transfer operator approximation
- Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries
- Training-Free Looped Transformers
- Efficient sampling of the unlabeled structure of uniform random mappings and surjections
- Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions
- A Tight Bound on Localization of Electrical Flows
- On weighted partial triangulations of convex polygons
- From Sequential Nodes to GPU Batches: Parallel Branch and Bound for Optimal $k$-Sparse GLMs
- Holomorphic Neural ODEs with Kolmogorov-Arnold Networks for Interpretable Discovery of Complex Dynamics
- Exact Hidden Paths in Noisy High Dimensional Path Spaces
- When Stronger Triggers Backfire: A High-Dimensional Theory of Backdoor Attacks
- A Symbolic Homotopy Algorithm for Solving Composable Polynomial Systems
- Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations
- A Formal Basis for Quantum Cryptographic Exposure Measurement under HNDL Threat
- A note on convergence of Wasserstein policy optimization
- Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning
- Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
- Mediative Fuzzy Logic: From Type-1 Foundations to Type-2, Type-3 and Quantum Extensions
- On Reed-Muller subcodes, Grassmannian partitions and sum-free functions
- Anytime Training with Schedule-Free Spectral Optimization
- Near-Optimal Algorithms for Maximal Clique Enumeration in Structurally Sparse Graphs
- SURF: Steering the Scalarization Weight to Uniformly Traverse the Pareto Front
- The General Theory of Localization Methods
- Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
- Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation
- LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging
- Solving Multivariate Polynomial Systems and Rectangular Multiparameter Eigenvalue Problems with MacaulayLab
- On the Complexity of Hop Domination and 2-Step Domination in Graph Classes
- Beyond the Bellman Recursion: A Pontryagin-Guided Framework for Non-Exponential Discounting
- Q-SYNTH: Hybrid Quantum-Classical Adversarial Augmentation for Imbalanced Fraud Detection
- Multicategorical Semantics for Untyped Effects
- Data-Efficient Neural Operator Training via Physics-Based Active Learning
- On the Regularity and Generalization of One-Step Wasserstein-guided Generative Models for PDE-Induced Measures
- Gaussian Sheaf Neural Networks
- Bifunction and Interlevel Delaunay Trifiltrations
- Finding a Solution to the Erdős-Ginzburg-Ziv Theorem in Linear Time