Publications associées à Apprentissage profond

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

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

Apprentissage profond

Graph Chatbot

Chattez avec Graph Search

Mapping drivers of tropical forest loss with satellite image time series and machine learning

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

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

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning

Efficient Continual Finite-Sum Minimization

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

Encoding quantum-chemical knowledge into machine-learning models of complex molecular properties

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Safety, tolerability and blinding efficiency of non-invasive deep transcranial temporal interference stimulation: first experience from more than 250 sessions

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Encoding quantum-chemical knowledge into machine-learning models of complex molecular properties

Mapping drivers of tropical forest loss with satellite image time series and machine learning

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

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

Safety, tolerability and blinding efficiency of non-invasive deep transcranial temporal interference stimulation: first experience from more than 250 sessions

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning

Efficient Continual Finite-Sum Minimization

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms