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4,439 records
- Quantum Generator Kernels
- 3DGS$^2$-TR: Scalable Second-Order Trust-Region Method for 3D Gaussian Splatting
- A Sheaf-Theoretic and Topological Perspective on Complex Network Modeling and Attention Mechanisms in Graph Neural Models
- PILD: Physics-Informed Learning via Diffusion
- Belief Propagation with Quantum Messages for Symmetric Q-ary Pure-State Channels
- Perceptrons and localization of attention's mean-field landscape
- A block-coordinate descent framework for non-convex composite optimization. Application to sparse precision matrix estimation
- PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
- Best Arm Identification with LLM Judges and Limited Human
- Mean-Field Control on Sparse Graphs: From Local Limits to GNNs via Neighborhood Distributions
- Transversal gates for quantum CSS codes
- Strassen's support functionals coincide with the quantum functionals
- LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models
- Identifiable Equivariant Networks are Layerwise Equivariant
- Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence
- Holographic generative flows with AdS/CFT
- PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training
- Symmetry Breaking in Transformers for Efficient and Interpretable Training
- Exact Gaussian Moment Matching for Residual Networks: a Second-Order Method
- Quantum-Inspired Reinforcement Learning for Secure and Sustainable AIoT-Driven Supply Chain Systems
- Proof Complexity of Linear Logics
- Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems
- LLM Compression by Block Removal with Constrained Binary Optimization
- Structural Segmentation of the Minimum Set Cover Problem: Exploiting Universe Decomposability for Metaheuristic Optimization
- ProFlow: Zero-Shot Physics-Consistent Sampling via Proximal Flow Guidance
- Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics -- Rotating Detonation Engines
- TINNs: Time-Induced Neural Networks for Solving Time-Dependent PDEs
- Single-Nodal Spontaneous Symmetry Breaking in NLP Models
- SA-PEF: Step-Ahead Partial Error Feedback for Efficient Federated Learning
- Anytime-Valid Quantum State Tomography via Confidence Sequences
- On Approximate Nash Equilibria in Mean Field Games
- A Theory of Universal Agnostic Learning
- Monotone Optimisation with Learned Projections
- ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction and Behavioral Rationality in Operations Research
- Quantum Model Parallelism for MRI-Based Classification of Alzheimer's Disease Stages
- How Entanglement Reshapes the Geometry of Quantum Differential Privacy
- Price of Locality in Permutation Mastermind: Are TikTok influencers Chaotic Enough?
- Polyhedral design with blended $n$-sided interpolants
- For Generalised Algebraic Theories, Two Sorts Are Enough
- Intersectional Fairness via Mixed-Integer Optimization
- Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
- Learn and Verify: A Framework for Rigorous Verification of Physics-Informed Neural Networks
- Hypergraph Samplers: Typical and Worst Case Behavior
- How many times can two minimum spanning trees cross?
- Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
- Integrating Artificial Intelligence, Physics, and Internet of Things: A Framework for Cultural Heritage Conservation
- Robust Learning of a Group DRO Neuron
- Decentralized Multi-product Pricing: Diagonal Dominance, Nash Equilibrium, and Price of Anarchy
- Complex-Valued-Matrix Permanents: SPA-based Approximations and Double-Cover Analysis
- Fundamentals, Recent Advances, and Challenges Regarding Cryptographic Algorithms for the Quantum Computing Era