The following pages link to has companion code repository (P1687):
Displaying 50 items.
- EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data (Q6426442) (← links)
- When and Where to Step: Terrain-Aware Real-Time Footstep Location and Timing Optimization for Bipedal Robots (Q6426478) (← links)
- Unsupervised physics-informed neural network in reaction-diffusion biology models (Ulcerative colitis and Crohn's disease cases) A preliminary study (Q6426502) (← links)
- Deep Learning for Hybrid Beamforming with Finite Feedback in GSM Aided mmWave MIMO Systems (Q6426551) (← links)
- Bidirectional UWB Localization: A Review on an Elastic Positioning Scheme for GNSS-deprived Zones (Q6426566) (← links)
- Improved Online Conformal Prediction via Strongly Adaptive Online Learning (Q6426603) (← links)
- Learning Neural Operators on Riemannian Manifolds (Q6426656) (← links)
- The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach (Q6426683) (← links)
- Towards strong uniformity for isogenies of prime degree (Q6426694) (← links)
- The maximum Wiener index of a uniform hypergraph (Q6426748) (← links)
- Mixed $\mathcal{H}_2/\mathcal{H}_\infty$-Policy Learning Synthesis (Q6426790) (← links)
- Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation (Q6426809) (← links)
- Entropy-aware non-oscillatory high-order finite volume methods using the Dafermos entropy rate criterion (Q6426818) (← links)
- Solving stochastic weak Minty variational inequalities without increasing batch size (Q6426836) (← links)
- A Legendre-Gauss Pseudospectral Collocation Method for Trajectory Optimization in Second Order Systems (Q6426838) (← links)
- Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent (Q6426846) (← links)
- On Equivalent Optimization of Machine Learning Methods (Q6426859) (← links)
- Synchronizing Many Filesystems in Near Linear Time (Q6426960) (← links)
- Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization (Q6426976) (← links)
- A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization (Q6426989) (← links)
- RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator (Q6427000) (← links)
- Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems (Q6427006) (← links)
- TAMUNA: Doubly Accelerated Federated Learning with Local Training, Compression, and Partial Participation (Q6427007) (← links)
- A novel energy-bounded Boussinesq model and a well balanced and stable numerical discretisation (Q6427023) (← links)
- Nystr\"om $M$-Hilbert-Schmidt Independence Criterion (Q6427025) (← links)
- Computing persistent homology by spanning trees and critical simplices (Q6427030) (← links)
- Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift (Q6427086) (← links)
- Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels (Q6427088) (← links)
- On Robust Numerical Solver for ODE via Self-Attention Mechanism (Q6427090) (← links)
- The Theory of Functional Connections on Vector Spaces (Q6427097) (← links)
- FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy (Q6427132) (← links)
- Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations (Q6427141) (← links)
- An Elementary Formal Proof of the Group Law on Weierstrass Elliptic Curves in any Characteristic (Q6427167) (← links)
- Boosting the Power of Kernel Two-Sample Tests (Q6427171) (← links)
- Scalable Infomin Learning (Q6427173) (← links)
- Valid Inference for Machine Learning Model Parameters (Q6427189) (← links)
- Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance (Q6427219) (← links)
- Reconfigurable Massive MIMO: Harnessing the Power of the Electromagnetic Domain for Enhanced Information Transfer (Q6427276) (← links)
- RNA secondary structures: from ab initio prediction to better compression, and back (Q6427330) (← links)
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule (Q6427408) (← links)
- Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems (Q6427413) (← links)
- Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework (Q6427456) (← links)
- SHAPER: Can You Hear the Shape of a Jet? (Q6427458) (← links)
- On the Limitations of Physics-informed Deep Learning: Illustrations Using First Order Hyperbolic Conservation Law-based Traffic Flow Models (Q6427473) (← links)
- Full-Stack End-To-End mmWave Simulations Using 3GPP and NYUSIM Channel Model in ns-3 (Q6427482) (← links)
- Simultaneous upper and lower bounds of American option prices with hedging via neural networks (Q6427492) (← links)
- Formalising Yoneda Ext in Univalent Foundations (Q6427540) (← links)
- Comparisons of two-stage models for flood mitigation of electrical substations (Q6427576) (← links)
- Elliptic PDE learning is provably data-efficient (Q6427582) (← links)
- A generalized conditional gradient method for multiobjective composite optimization problems (Q6427589) (← links)
