The following pages link to has companion code repository (P1687):
Displaying 50 items.
- A Permutation-free Kernel Two-Sample Test (Q6418630) (← links)
- OBMeshfree: An optimization-based meshfree solver for nonlocal diffusion and peridynamics models (Q6418634) (← links)
- Online Kernel CUSUM for Change-Point Detection (Q6418665) (← links)
- Folded Polynomial Codes for Coded Distributed $AA^\top$-Type Matrix Multiplication (Q6418703) (← links)
- Deflated Multigrid Multilevel Monte Carlo (Q6418727) (← links)
- A framework for structural shape optimization based on automatic differentiation, the adjoint method and accelerated linear algebra (Q6418730) (← links)
- Effective Data Sampling Strategies and Boundary Condition Constraints of Physics-Informed Neural Networks for Identifying Material Properties in Solid Mechanics (Q6418731) (← links)
- Distribution-free joint independence testing and robust independent component analysis using optimal transport (Q6418782) (← links)
- Sketch-and-solve approaches to k-means clustering by semidefinite programming (Q6418800) (← links)
- An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation (Q6418847) (← links)
- Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems (Q6418860) (← links)
- Locating the source of forced oscillations in transmission power grids (Q6418873) (← links)
- LCQPow -- A Solver for Linear Complementarity Quadratic Programs (Q6418929) (← links)
- ButterflyNet2D: Bridging Classical Methods and Neural Network Methods in Image Processing (Q6418972) (← links)
- Maximal skew sets of lines on a Hermitian surface and a modified Bron-Kerbosch algorithm (Q6418974) (← links)
- Ultrafast learning of 4-node hybridization cycles in phylogenetic networks using algebraic invariants (Q6418990) (← links)
- VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations (Q6419006) (← links)
- Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme (Q6419008) (← links)
- Robust and Fast Measure of Information via Low-rank Representation (Q6419010) (← links)
- A linear filter regularization for POD-based reduced order models of the quasi-geostrophic equations (Q6419027) (← links)
- Infinite-width limit of deep linear neural networks (Q6419054) (← links)
- Predictive Prescription of Unit Commitment Decisions Under Net Load Uncertainty (Q6419064) (← links)
- ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT (Q6419099) (← links)
- QMKPy: A Python Testbed for the Quadratic Multiple Knapsack Problem (Q6419101) (← links)
- Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations (Q6419112) (← links)
- Qualitative Euclidean embedding of Disjoint Sets of Points (Q6419124) (← links)
- Answering Private Linear Queries Adaptively using the Common Mechanism (Q6419149) (← links)
- Risk-Averse Self-Scheduling of Storage in Decentralized Markets (Q6419165) (← links)
- Simultaneously Transmitting and Reflecting Surface (STARS) for Terahertz Communications (Q6419233) (← links)
- Safe Control Design for Unknown Nonlinear Systems with Koopman-based Fixed-Time Identification (Q6419252) (← links)
- Prasatul Matrix: A Direct Comparison Approach for Analyzing Evolutionary Optimization Algorithms (Q6419256) (← links)
- New Probabilistic-Dynamic Multi-Method Ensembles for Optimization based on the CRO-SL (Q6419268) (← links)
- Computable bounds for the reach and $r$-convexity of subsets of $\mathbb{R}^d$ (Q6419304) (← links)
- A simple and efficient algorithm for computing the Baker-Campbell-Hausdorff series (Q6419357) (← links)
- Wigner Distribution Deconvolution Adaptation for Live Ptychography Reconstruction (Q6419358) (← links)
- Augmenting Basis Sets by Normalizing Flows (Q6419375) (← links)
- Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections (Q6419384) (← links)
- A data-driven uncertainty modelling and reduction approach for energy optimisation problems (Q6419387) (← links)
- Distributionally Robust Lyapunov Function Search Under Uncertainty (Q6419406) (← links)
- Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models (Q6419409) (← links)
- Convergence under Lipschitz smoothness of ease-controlled Random Reshuffling gradient Algorithms (Q6419478) (← links)
- The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response (Q6419488) (← links)
- An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization (Q6419592) (← links)
- The Multi-cluster Fluctuating Two-Ray Fading Model (Q6419606) (← links)
- Cutting planes for signomial programming (Q6419682) (← links)
- Graphnics: Combining FEniCS and NetworkX to simulate flow in complex networks (Q6419695) (← links)
- Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots (Q6419702) (← links)
- Solving the Side-Chain Packing Arrangement of Proteins from Reinforcement Learned Stochastic Decision Making (Q6419781) (← links)
- The BeMi Stardust: a Structured Ensemble of Binarized Neural Networks (Q6419844) (← links)
- End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search (Q6419887) (← links)
