Publications related to Deep learning

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your 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

Deep learning

Graph Chatbot

Chat with 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

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

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

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

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

Efficient Continual Finite-Sum Minimization

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

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

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

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