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4,439 records
- Locally Adaptive Multi-Objective Learning
- Distributed Quantum Gaussian Processes for Multi-Agent Systems
- Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees
- Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation
- SoliDualSPHysics: An extension of DualSPHysics for solid mechanics with hyperelasticity, plasticity, and fracture
- da Costa and Tarski meet Goguen and Carnap: a novel approach for ontological heterogeneity based on consequence systems
- Predicting Invoice Dilution in Supply Chain Finance with Leakage Free Two Stage XGBoost, KAN (Kolmogorov Arnold Networks), and Ensemble Models
- Overcoming Tight Constraints in Soft Happy Colouring
- Constant-Stepsize Stochastic Approximation: Finite-Time Convergence, Gaussian Approximation, and Tail Bounds
- A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
- Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws
- Muscle Coactivation in the Sky: Geometry and Pareto Optimality of Energy vs. Aerodynamic Promptness and Multirotors as Variable Stiffness Actuators
- Graph Homomorphisms and Universal Algebra
- Parallel Sparse and Data-Sparse Factorization-based Linear Solvers
- QuaRK: A Quantum Reservoir Kernel for Time Series Learning
- Zero-Order Optimization for LLM Fine-Tuning via Learnable Direction Sampling
- Can a Lightweight Automated AI Pipeline Solve Research-Level Mathematical Problems?
- Discrete Double-Bracket Flows for Isotropic-Noise Invariant Eigendecomposition
- Min-Max Connected Multiway Cut
- Machine Learning for Complex Systems Dynamics: Detecting Bifurcations in Dynamical Systems with Deep Neural Networks
- Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
- QTabGAN: A Hybrid Quantum-Classical GAN for Tabular Data Synthesis
- The Complexity of Homomorphism Reconstruction Revisited
- Pursuit of Truth and Beauty in Lean 4: Formally Verified Theory of Grammars, Optimization, Matroids
- Optimal Path Partitions in Subcubic and Almost-subcubic Graphs
- Learning functional components of PDEs from data using neural networks
- Why is Normalization Preferred? A Worst-Case Complexity Theory for Stochastically Preconditioned SGD under Heavy-Tailed Noise
- An Algebraic Rigidity Framework for Order-Oblivious Deterministic Black-Box PIT of ROABPs
- Convergence of Differential Entropies -- II
- Constructing Quantum Convolutional Codes via Difference Triangle Sets
- $γ$-weakly $θ$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
- Fully First-Order Algorithms for Online Bilevel Optimization
- Cycles of Well-Linked Sets II: an Elementary Bound for the Directed Grid Theorem
- Optimizing edge weights in the inverse eigenvector centrality problem
- A Note on the Complexity of Directed Clique
- Global Convergence to Nash Equilibrium in Nonconvex General-Sum Games under the $n$-Sided PL Condition
- Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
- Unravelling Abstract Cyclic Proofs into Proofs by Induction
- Contention Resolution, With and Without a Global Clock
- Sub--Riemannian boundary value problems for Optimal Geometric Locomotion
- Completeness in the Polynomial Hierarchy and PSPACE for many natural problems derived from NP
- A Machine Learning Approach to the Nirenberg Problem
- Rational Neural Networks have Expressivity Advantages
- An Autonomous, End-to-End, Convex-Based Framework for Close-Range Rendezvous Trajectory Design and Guidance with Hardware Testbed Validation
- Geometric separation and constructive universal approximation with two hidden layers
- Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem
- Constructing Industrial-Scale Optimization Modeling Benchmark
- Informal and Privatized Transit: Incentives, Efficiency and Coordination
- Online Generalized-Mean Welfare Maximization: Achieving Near-Optimal Regret from Samples
- Bridging the Compression-Precision Paradox: A Hybrid Architecture for Clinical EEG Report Generation with Guaranteed Measurement Accuracy