The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis (Q6345144) (← links)
- 1-Bit Compressive Sensing via Approximate Message Passing with Built-in Parameter Estimation (Q6345152) (← links)
- An Improved Analysis of Stochastic Gradient Descent with Momentum (Q6345192) (← links)
- An ergodic averaging method to differentiate covariant Lyapunov vectors (Q6345225) (← links)
- Channel-wise Autoregressive Entropy Models for Learned Image Compression (Q6345272) (← links)
- Towards Environment-Aware 6G Communications via Channel Knowledge Map (Q6345350) (← links)
- Hypersolvers: Toward Fast Continuous-Depth Models (Q6345382) (← links)
- A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings (Q6345383) (← links)
- Kernel Assisted Learning for Personalized Dose Finding (Q6345417) (← links)
- Pure metric geometry: introductory lectures (Q6345421) (← links)
- Column-Randomized Linear Programs: Performance Guarantees and Applications (Q6345507) (← links)
- The Complete Lasso Tradeoff Diagram (Q6345582) (← links)
- Fast Graphlet Transform of Sparse Graphs (Q6345585) (← links)
- Multi-modality imaging with structure-promoting regularisers (Q6345661) (← links)
- Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes (Q6345665) (← links)
- Leading Cruise Control in Mixed Traffic Flow (Q6345670) (← links)
- Multivariate sparse clustering for extremes (Q6345684) (← links)
- Measurement Clusterization in D-optimal Designs for Bayesian Linear Inverse Problems over Hilbert Spaces (Q6345707) (← links)
- Receding Horizon Control Based Online Motion Planning with Partially Infeasible LTL Specifications (Q6345715) (← links)
- Predictive Information Accelerates Learning in RL (Q6345746) (← links)
- Towards Automated Discovery of Geometrical Theorems in GeoGebra (Q6345754) (← links)
- Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator (Q6345772) (← links)
- Accelerated Stochastic Gradient-free and Projection-free Methods (Q6345783) (← links)
- Cross-validation Confidence Intervals for Test Error (Q6345790) (← links)
- Optimizing Block-Sparse Matrix Multiplications on CUDA with TVM (Q6345838) (← links)
- multivar_horner: a python package for computing Horner factorisations of multivariate polynomials (Q6345858) (← links)
- Message Passing Least Squares Framework and its Application to Rotation Synchronization (Q6345928) (← links)
- Optimal control of COVID-19 infection rate considering social costs (Q6345946) (← links)
- Data-Driven Learning of Reduced-order Dynamics for a Parametrized Shallow Water Equation (Q6345982) (← links)
- WaveFuse: A Unified Deep Framework for Image Fusion with Discrete Wavelet Transform (Q6345988) (← links)
- Diagrammatic sets and rewriting in weak higher categories (Q6346049) (← links)
- Almost exact recovery in noisy semi-supervised learning (Q6346087) (← links)
- Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity (Q6346117) (← links)
- Information-Theoretic Approximation to Causal Models (Q6346122) (← links)
- Detecting Change Signs with Differential MDL Change Statistics for COVID-19 Pandemic Analysis (Q6346142) (← links)
- PR-NN: RNN-based Detection for Coded Partial-Response Channels (Q6346197) (← links)
- Additive interaction modelling using I-priors (Q6346210) (← links)
- Review on Ranking and Selection: A New Perspective (Q6346292) (← links)
- Statistical Inference of Minimally Complex Models (Q6346327) (← links)
- PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning (Q6346456) (← links)
- Enforcing exact boundary and initial conditions in the deep mixed residual method (Q6346464) (← links)
- Generalization Guarantees for Imitation Learning (Q6346518) (← links)
- Game-theoretic modeling of collective decision-making during epidemics (Q6346525) (← links)
- Continuous-in-Depth Neural Networks (Q6346575) (← links)
- Optimization Fabrics (Q6346577) (← links)
- Large-time asymptotics in deep learning (Q6346591) (← links)
- Multilevel Monte Carlo for quantum mechanics on a lattice (Q6346666) (← links)
- BayesCG As An Uncertainty Aware Version of CG (Q6346682) (← links)
- ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data (Q6346684) (← links)
- Efficient least squares for estimating total effects under linearity and causal sufficiency (Q6346724) (← links)
