The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Marginal Tail-Adaptive Normalizing Flows (Q6402712) (← links)
- A provably quasi-polynomial algorithm for the discrete logarithm problem in finite fields of small characteristic (Q6402717) (← links)
- Learning to Estimate and Refine Fluid Motion with Physical Dynamics (Q6402745) (← links)
- On the effectiveness of persistent homology (Q6402769) (← links)
- Solving Constrained Variational Inequalities via a First-order Interior Point-based Method (Q6402778) (← links)
- Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning (Q6402779) (← links)
- Differentially Private Maximal Information Coefficients (Q6402785) (← links)
- Bregman Power k-Means for Clustering Exponential Family Data (Q6402813) (← links)
- Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results (Q6402821) (← links)
- Multiple-Access Channel Coding with Non-Signaling Correlations (Q6402829) (← links)
- Near-optimal control of dynamical systems with neural ordinary differential equations (Q6402853) (← links)
- A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta (Q6402855) (← links)
- Root Tracking for Rate-Distortion: Approximating a Solution Curve with Higher Implicit Multivariate Derivatives (Q6402893) (← links)
- Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise (Q6402899) (← links)
- Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage Model (Q6402903) (← links)
- Dynamic consensus with prescribed convergence time for multi-leader formation tracking (Q6402943) (← links)
- On the arithmetic of generalized Fekete polynomials (Q6402976) (← links)
- Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks (Q6403035) (← links)
- Intersecting near-optimal spaces: European power systems with more resilience to weather variability (Q6403057) (← links)
- Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems (Q6403070) (← links)
- Deep Generation of Heterogeneous Networks (Q6403073) (← links)
- Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks (Q6403085) (← links)
- Mutual-Information Based Optimal Experimental Design for Hyperpolarized $^{13}$C-Pyruvate MRI (Q6403101) (← links)
- Render unto Numerics: Orthogonal Polynomial Neural Operator for PDEs with Non-periodic Boundary Conditions (Q6403143) (← links)
- Efficient Private SCO for Heavy-Tailed Data via Clipping (Q6403203) (← links)
- RankSEG: A Consistent Ranking-based Framework for Segmentation (Q6403215) (← links)
- Learning Deep Input-Output Stable Dynamics (Q6403216) (← links)
- Learning to Control Local Search for Combinatorial Optimization (Q6403225) (← links)
- Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set (Q6403234) (← links)
- Adaptive Decoding Mechanisms for UAV-enabled Double-Uplink Coordinated NOMA (Q6403279) (← links)
- Benchopt: Reproducible, efficient and collaborative optimization benchmarks (Q6403290) (← links)
- A Simple Frequency Diversity Scheme for Ultra-Reliable Communications in Ground Reflection Scenarios (Q6403291) (← links)
- Cyber Network Resilience against Self-Propagating Malware Attacks (Q6403312) (← links)
- Learning Symmetric Rules with SATNet (Q6403392) (← links)
- Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks (Q6403421) (← links)
- Non-ergodicity on SU(2) and SU(3) character varieties of the once-punctured torus (Q6403437) (← links)
- PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming (Q6403444) (← links)
- Exporting Ada Software to Python and Julia (Q6403453) (← links)
- A Perturbation Bound on the Subspace Estimator from Canonical Projections (Q6403458) (← links)
- Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs (Q6403459) (← links)
- Robust Online Voltage Control with an Unknown Grid Topology (Q6403476) (← links)
- Treatment Effect Estimation with Observational Network Data using Machine Learning (Q6403509) (← links)
- An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations (Q6403532) (← links)
- Learning-Based Near-Orthogonal Superposition Code for MIMO Short Message Transmission (Q6403597) (← links)
- Randomized K-FACs: Speeding up K-FAC with Randomized Numerical Linear Algebra (Q6403656) (← links)
- A Bayesian 'sandwich' for variance estimation (Q6403691) (← links)
- A Comparative Study of Graph Matching Algorithms in Computer Vision (Q6403721) (← links)
- Cell-Free Massive MIMO for URLLC: A Finite-Blocklength Analysis (Q6403815) (← links)
- Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces (Q6403818) (← links)
- Approximate Vanishing Ideal Computations at Scale (Q6403895) (← links)
