Publications associées à Groebner Basis Methods for Multichannel Sampling with Unknown Offsets

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Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

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}

minimizing

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

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

2024

Groebner Basis Methods for Multichannel Sampling with Unknown Offsets

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Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

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Efficient Continual Finite-Sum Minimization

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Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS

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Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

Efficient Continual Finite-Sum Minimization

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

A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control

Reliable data-driven decision-making through optimal transport

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS

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

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems