The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Lithium-Ion Battery Charging Schedule Optimization to Balance Battery Usage and Degradation (Q6400618) (← links)
- Posterior and Computational Uncertainty in Gaussian Processes (Q6400619) (← links)
- Variational inference via Wasserstein gradient flows (Q6400705) (← links)
- Universal Early Warning Signals of Phase Transitions in Climate Systems (Q6400728) (← links)
- Principle of Relevant Information for Graph Sparsification (Q6400737) (← links)
- Star algorithm for NN ensembling (Q6400762) (← links)
- Affine Pavings of Quiver Flag Varieties (Q6400798) (← links)
- Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top (Q6400818) (← links)
- Topological Deep Learning: Going Beyond Graph Data (Q6400834) (← links)
- Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis (Q6400841) (← links)
- On the acyclicity of reductions of elliptic curves modulo primes in arithmetic progressions (Q6400888) (← links)
- A Scalable Shannon Entropy Estimator (Q6400894) (← links)
- Extremal values of degree-based entropies of bipartite graphs (Q6400895) (← links)
- Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise (Q6400934) (← links)
- Equivariant Reinforcement Learning for Quadrotor UAV (Q6400965) (← links)
- Rashomon Capacity: A Metric for Predictive Multiplicity in Classification (Q6400982) (← links)
- Multi-Stage Decision Rules for Power Generation & Storage Investments with Performance Guarantees (Q6401057) (← links)
- Robust Topological Inference in the Presence of Outliers (Q6401079) (← links)
- Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees (Q6401102) (← links)
- Surprising Instabilities in Training Deep Networks and a Theoretical Analysis (Q6401127) (← links)
- Hidden Degrees of Freedom in Implicit Vortex Filaments (Q6401129) (← links)
- Is $L^2$ Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network? (Q6401133) (← links)
- Fast, Stable and Efficient Approximation of Multi-parameter Persistence Modules with MMA (Q6401137) (← links)
- Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks (Q6401163) (← links)
- A Survey on Deep Learning based Channel Estimation in Doubly Dispersive Environments (Q6401169) (← links)
- An information upper bound for probability sensitivity (Q6401199) (← links)
- Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling (Q6401200) (← links)
- Minimising the Expected Posterior Entropy Yields Optimal Summary Statistics (Q6401209) (← links)
- Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning (Q6401253) (← links)
- Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees (Q6401266) (← links)
- Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches (Q6401269) (← links)
- Beyond spectral gap: The role of the topology in decentralized learning (Q6401331) (← links)
- On Outer Bi-Lipschitz Extensions of Linear Johnson-Lindenstrauss Embeddings of Low-Dimensional Submanifolds of $\mathbb{R}^N$ (Q6401375) (← links)
- How does overparametrization affect performance on minority groups? (Q6401387) (← links)
- Sampling-based techniques for designing school boundaries (Q6401428) (← links)
- Cohen-Macaulay type of orders, generators and ideal classes (Q6401443) (← links)
- Constructive TT-representation of the tensors given as index interaction functions with applications (Q6401459) (← links)
- Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection (Q6401480) (← links)
- Mathematical model bridges disparate timescales of lifelong learning (Q6401484) (← links)
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning (Q6401490) (← links)
- Robust Semantic Communications with Masked VQ-VAE Enabled Codebook (Q6401496) (← links)
- A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces (Q6401590) (← links)
- On Margins and Generalisation for Voting Classifiers (Q6401600) (← links)
- A computational framework for weighted simplicial homology (Q6401604) (← links)
- Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination (Q6401621) (← links)
- Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites (Q6401638) (← links)
- Mixed integer linear optimization formulations for learning optimal binary classification trees (Q6401645) (← links)
- Artificial Intelligence Enabled NOMA Towards Next Generation Multiple Access (Q6401670) (← links)
- Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery (Q6401682) (← links)
- GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions (Q6401711) (← links)
