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4,638 records
- VQA for Dynamic Portfolio Optimization: Sampling Strategies, Optimizer Scheduling, and Hardware-Aware Ansatz Design
- Bayesian Optimization for Learning Nonlinear MPC in Autonomous Agent Navigation
- Computational Identifiability
- The Spectral Dynamics and Noise Geometry of Muon
- Simplest Nontrivial Maxwellian Random Field Models for Stochastic LoS MIMO Using the Dyadic Green's Function
- Quantum Global Variational Learning for Quantum Error Correction
- Kikuchi Graphs of Random Hypergraphs are Approximately Johnson
- Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime
- New Codes from Cyclic and Negacyclic Codes of Even Length over $\mathbb{Z}_4$
- LEGS: Laplacian-Enhanced Gaussian Splatting with a Nonlinear Weighted Loss
- Conditional Random Ordered Transport Spaces
- AttentionCap: Transformer Based Capacitance Matrix Learning Toward Full-Chip Extraction
- How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs
- Floating-point autotuning with customized precisions
- Kronecker products and iterated matrix multiplication
- Communication Strategy Selection for Multi-GPU 3D FDTD with Convolutional Perfectly Matched Boundary Layers
- Constructing VAE Latent Spaces with Prescribed Topology
- Residual-Controlled Multiplier Learning for Stochastic Constrained Decision-Making
- QBugLM: An Agentic Benchmarking Framework for LLM-based Quantum Software Debugging
- Four intuitionistic modal connectives
- Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization
- How reliable are LLMs when it comes to playing dice?
- A remark on diagnosability verification
- A note on rounding fractional matchings with constant-factor strong negative correlation
- Ternary public-key cryptosystem
- Path Planning Using Deep Deterministic Policy Gradient: A Reinforcement Learning Approach
- Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations
- Cross-Epoch Adaptive Rollout Optimization for RL Post-Training
- Exploring cooperation mechanisms via deep reinforcement learning in network common-pool resource games
- Quantifying Uncertainty In Wide Two-Layer Neural Networks: On The Law Of The Limiting Fluctuation Process
- Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming
- RedZeD: Computing persistent homology by Reduction to Zero Differentials
- Analytic patch trees: branch interface inheritance and fractal dimension fields
- Temporal matching in trees
- N-Player Binary Games with Unidirectional Dependencies: Cycle Robustness and Induced Indifference
- The Sharp Phase Transition of Tyler's M-Estimator for Robust Subspace Recovery
- A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks
- Gauss Circle Lattices with Geometric Convolutions for Synthesizing High Dimensional Image-Source Room Impulse Responses
- MeshTok: Efficient Multi-Scale Tokenization for Scalable PDE Transformers
- Shortcomings and capacities of real-constrained neural networks in complex spaces
- RowNet: A Memory Transformer for Tabular Regression
- A Certified Lower Bound for Lebesgue's Universal Cover Problem
- ParetoPilot: Zero-Surrogate Offline Multi-Objective Optimization via Infer-Perturb-Guide Diffusion
- A Second-Order Cepstral Signature of Contact-Vibration Sounds Reproduced by Laptop Loudspeakers: A Synthetic Case Study
- When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks
- Activation Steering of Video Generation Models via Reduced-Order Linear Optimal Control
- Tree-Based Formalization of Multi-Agent Complementarity in Human-AI Interactions
- The Preisach Extremum Stack is a Shannon-Minimal Sufficient Statistic for Rate-Independent Functionals
- Uncertainty-Aware End-to-End Co-Design of Neural Network Processors: From Training and Mapping to Fabrication
- Deep Embedded Multiplicative DMD for Algebra-Preserving Koopman Learning