Sampling-aware Polar Descriptors on the Sphere

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Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

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\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

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Sampling-aware Polar Descriptors on the Sphere

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Incorporating Projective Geometry into Deep Learning

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction

Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming

Quantum Protocols for ML, Physics, and Finance

Reliable data-driven decision-making through optimal transport

Efficient Continual Finite-Sum Minimization

Graph generative deep learning models with an application to circuit topologies

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control

Why computational complexity may set impenetrable barriers for epistemic reductionism

Homothetic Tube Model Predictive Control With Multi-Step Predictors

Hypergraph-Based Fast Distributed AC Power Flow Optimization

Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction

Rigidity-Aware Detection for 6D Object Pose Estimation

Understanding the role of Hubbard corrections in the rhombohedral phase of BaTiO3

Hardware Implementation of Digital Signal Processing Algorithms for Programmable Epilepsy Control Systems

Cost-effective equalization of electro-optic frequency combs in a Sagnac interferometer

Contextual Stochastic Bilevel Optimization

Detecting Anomalies and Obstacles in Road Scenes

Evaluating the effect of sparse convolutions on point cloud compression