Publications associées à Graph-based classification of multiple observation sets

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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

Graph-based classification of multiple observation sets

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Chattez avec Graph Search

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

Graph generative deep learning models with an application to circuit topologies

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

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

Quantum Protocols for ML, Physics, and Finance

Reliable data-driven decision-making through optimal transport

Efficient Continual Finite-Sum Minimization

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

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

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

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

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

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

Efficient Continual Finite-Sum Minimization

Graph generative deep learning models with an application to circuit topologies

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

Quantum Protocols for ML, Physics, and Finance

Reliable data-driven decision-making through optimal transport

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation