The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Semi-Riemannian Manifold Optimization (Q6311334) (← links)
- On Lazy Training in Differentiable Programming (Q6311365) (← links)
- Efficient and scalable data structures and algorithms for goal-oriented adaptivity of space-time FEM codes (Q6311436) (← links)
- Persistence Bag-of-Words for Topological Data Analysis (Q6311514) (← links)
- SI-method for solving stiff nonlinear boundary value problems (Q6311542) (← links)
- Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology (Q6311578) (← links)
- Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach (Q6311604) (← links)
- Random deep neural networks are biased towards simple functions (Q6311617) (← links)
- SIAN: software for structural identifiability analysis of ODE models (Q6311620) (← links)
- Structure Learning of Sparse GGMs over Multiple Access Networks (Q6311649) (← links)
- On inverse of permutation polynomials of small degree over finite fields, II (Q6311838) (← links)
- Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning (Q6311844) (← links)
- A Simple Algorithm for Scalable Monte Carlo Inference (Q6311937) (← links)
- Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit (Q6312211) (← links)
- Bayesian calibration and sensitivity analysis for a karst aquifer model using active subspaces (Q6312293) (← links)
- MAXENT3D_PID: An Estimator for the Maximum-entropy Trivariate Partial Information Decomposition (Q6312301) (← links)
- Power Control in Cellular Massive MIMO with Varying User Activity: A Deep Learning Solution (Q6312340) (← links)
- Non-Parametric Inference Adaptive to Intrinsic Dimension (Q6312362) (← links)
- Uncertainty in marine weather routing (Q6312378) (← links)
- Quadratization in discrete optimization and quantum mechanics (Q6312446) (← links)
- Practical Lossless Compression with Latent Variables using Bits Back Coding (Q6312492) (← links)
- The Bayesian Prophet: A Low-Regret Framework for Online Decision Making (Q6312507) (← links)
- Solving inverse problems via auto-encoders (Q6312510) (← links)
- DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization (Q6312524) (← links)
- Introducing Fairness and Diversification in WTA and ATP Tennis Tournaments Generation (Q6312557) (← links)
- Robust Design of AC Computing-Enabled Receiver Architecture for SWIPT Networks (Q6312645) (← links)
- Path Spaces of Higher Inductive Types in Homotopy Type Theory (Q6312649) (← links)
- Exact Controllability for a Refined Stochastic Wave Equation (Q6312654) (← links)
- FFT and orthogonal discrete transform on weight lattices of semi-simple Lie groups (Q6312674) (← links)
- Genetic Algorithm-based Polar Code Construction for the AWGN Channel (Q6312707) (← links)
- Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches (Q6312814) (← links)
- Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees (Q6312881) (← links)
- Beyond topological persistence: Starting from networks (Q6312945) (← links)
- Pseudo-Polynomial Time Algorithm for Computing Moments of Polynomials in Free Semicircular Elements (Q6312970) (← links)
- On the Waring rank of binary forms: The binomial formula and a dihedral cover of rank two forms (Q6312983) (← links)
- Computational aspects of orbifold equivalence (Q6313073) (← links)
- Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization (Q6313078) (← links)
- DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization (Q6313081) (← links)
- Coverage and Rate Analysis of Downlink Cellular Vehicle-to-Everything (C-V2X) Communication (Q6313095) (← links)
- Information-Theoretic Understanding of Population Risk Improvement with Model Compression (Q6313131) (← links)
- ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding (Q6313165) (← links)
- Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Networks (Q6313172) (← links)
- Error Feedback Fixes SignSGD and other Gradient Compression Schemes (Q6313183) (← links)
- Stochastic Frank-Wolfe for Composite Convex Minimization (Q6313236) (← links)
- Decoder-tailored Polar Code Design Using the Genetic Algorithm (Q6313252) (← links)
- Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions (Q6313254) (← links)
- Memory-Efficient Adaptive Optimization (Q6313339) (← links)
- An estimation method for game complexity (Q6313343) (← links)
- Determining the Dimension and Structure of the Subspace Correlated Across Multiple Data Sets (Q6313359) (← links)
- Bayesian active learning for optimization and uncertainty quantification in protein docking (Q6313382) (← links)
