Recherche

La recherche joue un rôle majeur dans le domaine du Machine Learning. Avec des publications de premier ordre chaque année, l’EPFL jouit d’une excellente réputation.

2024

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

A. Shahbazinia; F. Ponzina; J. A. Miranda Calero; J. Dan; G. Ansaloni et al.

2024-04-15. 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.

Recherche

2024

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Engineering novel protein interactions with therapeutic potential using deep learning-guided surface design

Can Gas Consumption Data Improve the Performance of Electricity Theft Detection?

The multimodality cell segmentation challenge: toward universal solutions

Inverse design of metal-organic frameworks for direct air capture of CO2via deep reinforcement learning

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

Deep learning approach for identification of H II regions during reionization in 21-cm observations – II. Foreground contamination

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Network time series forecasting in photovoltaics power production

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Optimizing Dynamic Aperture Studies with Active Learning

“But of course i’m going to look happy” or “He needed to know I was angry”? Comparing use of emotional labour in teamwork in engineering and hospitality students

Scalable semantic 3D mapping of coral reefs with deep learning

On learning latent dynamics of the AUG plasma state

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Shape Holomorphy of Boundary Integral Operators on Multiple Open Arcs

Live-cell imaging powered by computation

Butterfly effects in perceptual development: A review of the ‘adaptive initial degradation’ hypothesis

Glenohumeral joint force prediction with deep learning

Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN

RibSeg v2: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction

Predicting protein interactions using geometric deep learning on protein surfaces

Predicting the long-term collective behaviour of fish pairs with deep learning

Understanding and Enhancing Digital Wellbeing Dimensions: Empirical Studies on Smartphone Usage Patterns and Recommendations of Micro-Informative Content

Cellpose training data and scripts from “Inhibition of CERS1 in aging skeletal muscle exacerbates age-related muscle impairments”

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica

Euclid preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

Meta-learning to address diverse Earth observation problems across resolutions

Dynamic Behavior of Spatially Confined Sn Clusters and Its Application in Highly Efficient Sodium Storage with High Initial Coulombic Efficiency

JDLL: a library to run deep learning models on Java bioimage informatics platforms

Computational drug development for membrane protein targets

Towards Trustworthy Deep Learning for Image Reconstruction

Towards the Detection of AI-Synthesized Human Face Images

Assessment framework for deepfake detection in real-world situations

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (6/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (5/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (4/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (3/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6)

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6)

Safe Deep Neural Networks

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

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Aggregating Spatial and Photometric Context for Photometric Stereo

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Incorporating Projective Geometry into Deep Learning

Random matrix methods for high-dimensional machine learning models

3D diffractive optics for linear interconnects and nonlinear processing

On the number of regions of piecewise linear neural networks

A Robotic Surgery Platform for Automated Tissue Micromanipulation in Zebrafish Embryos

2023

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

Boosting Weakly Convex Ridge Regularizers with Spatial Adaptivity

Using deep learning-based approaches to characterise ageing in different tissue components of normal breast tissue of women with different risk of developing breast cancer

Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations

Multi-site, Multi-domain Airway Tree Modeling

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive

Blue ice in Antarctica: The gateway to travel in time and space

Time Series Analysis of Urban Liveability

Improved marine debris detection in satellite imagery with automatic refinement of coarse hand annotations

Meteor: Meta-learning connecting earth problems observed from space

Sensor-agnostic Deep Learning of Coastal Ocean Chlorophyll-a

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

Divergences in color perception between deep neural networks and humans

Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking

DeepSportradar-v2: a Multi-Sport Computer Vision Dataset for Sport Understandings

Deep Learning-Assisted Single-Molecule Detection of Protein Post-translational Modifications with a Biological Nanopore

Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime

Reinforcement bond performance in 3D concrete printing: Explainable ensemble learning augmented by deep generative adversarial networks

Fixing the problems of deep neural networks will require better training data and learning algorithms