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4,439 records
- Stochastic Analysis of Cybersecurity Defense Strategies Under Single Attack Scenario
- Easy, robust approximate message passing for planted spike models
- GNMR: Runtime Stability Control for Low-Precision Large Language Model Training
- LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization
- Eulerian-spanning set and coboundary operator: An investigation of maxcut beyond planar graphs
- Beyond Pure Sampling: Hybrid Optimization Mechanisms for Non-Convex Model Predictive Control
- Computational Phase Transitions in Binary Compressed Sensing: Quantum Annealing Inside the Relaxation Gap
- Graph Neural Networks for Predicting Solvability of Finite Groups
- Learning Transfers: Kan Extensions of Topological Invariants of Learned Representations
- Bringing closure to theory combination properties
- Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
- Cross-Layer Subspace Coupling for LLM Compression: A Unifying Framework and Its Empirical Limits
- Local linear convergence of gradient methods for overparameterized Gaussian mixtures
- A non-intrusive approach to index-aware learning
- On the Application of Hybrid Mixed Domain Decomposition Methods to Permanent Magnet Synchronous Machines
- Scalable Bayesian Inference for Nonlinear Conservation Laws
- Geometric construction of k-optimal locally repairable codes
- Non-Asymptotic Convergence of Stochastic Iterative Algorithms: A Lyapunov Framework
- Social welfare optimisation under institutional reward and punishment
- Graphical einops: bridging tensor networks and computation graphs
- BERS: Locally Optimal Continuous Algorithm for Maritime Weather Routing with Just-in-Time Arrival
- The Dynamic-Probabilistic Consistency Gap in Chaotic Surrogate Modeling
- A Tight Theory of Error Feedback Algorithms in Distributed Optimization
- Agentic Transformers Provably Learn to Search via Reinforcement Learning
- Towards fast computation of higher discrete homology
- High-Dimensional Expanders, the Sparsest Cut Problem, and Steurer's Conjecture
- GLENS: Global Search via Learning from Solver Iterates with Diffusion Models
- Verifying global identifiability of parametric linear ODE models is NP-hard
- Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems
- A Theoretical and Experimental Study of a Novel Adaptive Learning Algorithm
- Attention as In-Context Empirical Bayes: A Two-Stage View via Particle Dynamics
- Deep Adaptive Dimension Reduction for Bayesian Inference in Inverse Problems
- Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization
- Sampling Directed Eulerian Tours in $\widetilde O(m^{3/2})$ Time
- FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting
- Open Problem: Separating Geometric and Algorithmic Compression via Cayley-Table Completion
- Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems
- Reasoning with Sampling: Cutting at Decision Points
- Majorization precursors to supermodularity and subadditivity on the majorization lattice
- Delayed Repression and Emergent Instability in Adaptive Multi-Agent Systems
- A Unified Framework for Gradient Aggregation in Multi-Objective Optimization
- DisjunctiveNet: Neural Symbolic Learning via Differentiable Convexified Optimization Layers
- Exploiting Chordal Sparsity for Globally Optimal Estimation with Factor Graphs
- Convergence of Steepest Descent and Adam under Non-Uniform Smoothness
- Decentralized Parameter-Free Online Learning with Compressed Gossip
- Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
- Natural Locomotion: Principle and Method
- Hybrid Neural World Models
- Fault Tolerance of Accelerated Asynchronous Fixed-Point Iterations on Flexible Computing Infrastructure
- Locally recoverable codes from elliptic surfaces with availability and hierarchical locality