The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Smart "Predict, then Optimize" (Q6292881) (← links)
- Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach (Q6292900) (← links)
- PDE-Net: Learning PDEs from Data (Q6293071) (← links)
- RRT-CoLearn: towards kinodynamic planning without numerical trajectory optimization (Q6293119) (← links)
- A reference-searching-based algorithm for large-scale data envelopment analysis computation (Q6293160) (← links)
- Training Probabilistic Spiking Neural Networks with First-to-spike Decoding (Q6293200) (← links)
- Learning to solve inverse problems using Wasserstein loss (Q6293235) (← links)
- Orthogonal Machine Learning: Power and Limitations (Q6293349) (← links)
- Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks (Q6293354) (← links)
- Medoids in almost linear time via multi-armed bandits (Q6293407) (← links)
- Provable defenses against adversarial examples via the convex outer adversarial polytope (Q6293412) (← links)
- Acceleration of tensor-product operations for high-order finite element methods (Q6293413) (← links)
- Learning Linear Dynamical Systems via Spectral Filtering (Q6293425) (← links)
- The neighborhood lattice for encoding partial correlations in a Hilbert space (Q6293432) (← links)
- PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations (Q6293523) (← links)
- Entrograms and coarse graining of dynamics on complex networks (Q6293561) (← links)
- An Unsupervised Deep Learning Approach for Scenario Forecasts (Q6293597) (← links)
- Explicit Error Bounds for Carleman Linearization (Q6293627) (← links)
- Functional central limit theorems for rough volatility (Q6293683) (← links)
- Optimization-Based Collision Avoidance (Q6293727) (← links)
- Fast Meta-Learning for Adaptive Hierarchical Classifier Design (Q6293738) (← links)
- Complete solving the quadratic equation mod $2^n$ (Q6293755) (← links)
- Deep Multigrid: learning prolongation and restriction matrices (Q6293788) (← links)
- Hamiltonian consistency of the gravitational constraint algebra under deformations (Q6293839) (← links)
- Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling (Q6294030) (← links)
- Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size (Q6294084) (← links)
- JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs (Q6294211) (← links)
- Conquering the pre-computation in two-dimensional harmonic polynomial transforms (Q6294224) (← links)
- PhasePack User Guide (Q6294434) (← links)
- Backprop as Functor: A compositional perspective on supervised learning (Q6294520) (← links)
- Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations (Q6294533) (← links)
- Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations (Q6294534) (← links)
- Parameter-free $\ell_p$-Box Decoding of LDPC Codes (Q6294566) (← links)
- A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control (Q6294595) (← links)
- Assessing Information Transmission in Data Transformations with the Channel Multivariate Entropy Triangle (Q6294651) (← links)
- The reparameterization trick for acquisition functions (Q6294699) (← links)
- Chimera States in Continuous Media: Existence and Distinctness (Q6294702) (← links)
- On "A Homogeneous Interior-Point Algorithm for Non-Symmetric Convex Conic Optimization" (Q6294706) (← links)
- Convex function approximations for Markov decision processes (Q6294773) (← links)
- Probabilistic treatment of the uncertainty from the finite size of weighted Monte Carlo data (Q6294808) (← links)
- Achieving the time of $1$-NN, but the accuracy of $k$-NN (Q6294935) (← links)
- Calculation of Iterated-Integral Signatures and Log Signatures (Q6294985) (← links)
- Iterated filtering methods for Markov process epidemic models (Q6295015) (← links)
- PacGAN: The power of two samples in generative adversarial networks (Q6295128) (← links)
- Topological mixture estimation (Q6295173) (← links)
- Balance and Frustration in Signed Networks (Q6295195) (← links)
- Nearly Optimal Robust Subspace Tracking (Q6295353) (← links)
- Sparse Graphs for Belief Propagation Decoding of Polar Codes (Q6295618) (← links)
- Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence (Q6295671) (← links)
- Deep Learning for Massive MIMO CSI Feedback (Q6295674) (← links)