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.

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2024

Qualify-as-you-go: sensor fusion of optical and acoustic signatures with contrastive deep learning for multi-material composition monitoring in laser powder bed fusion process

V. Pandiyan; A. Baganis; R. A. Richter; R. Wrobel; C. Leinenbach

Virtual And Physical Prototyping. 2024-12-31. Vol. 19, num. 1, p. e2356080. DOI : 10.1080/17452759.2024.2356080.

Recherche

2024

Qualify-as-you-go: sensor fusion of optical and acoustic signatures with contrastive deep learning for multi-material composition monitoring in laser powder bed fusion process

Subwavelength imaging using a solid-immersion diffractive optical processor

Non-negative matrix factorization-aided phase unmixing and trace element quantification of STEM-EDXS data

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Parental status and markers of brain and cellular age: A 3D convolutional network and classification study

Positional Embeddings for Solving PDEs with Evolutional Deep Neural Networks

Coronal jets identification using Deep Learning as Image and Video Object Detection

Deep learning-based recommendation system for metal-organic frameworks (MOFs)

Intraday solar irradiance forecasting using public cameras

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

AI-CPG: Adaptive Imitated Central Pattern Generators for Bipedal Locomotion Learned Through Reinforced Reflex Neural Networks

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

Text-to-Microstructure Generation Using Generative Deep Learning

Hierarchical Training of Deep Neural Networks Using Early Exiting

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

PeSTo-Carbs: Geometric Deep Learning for Prediction of Protein-Carbohydrate Binding Interfaces

Viability leads to the emergence of gait transitions in learning agile quadrupedal locomotion on challenging terrains

“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

The multimodality cell segmentation challenge: toward universal solutions

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

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Scalable semantic 3D mapping of coral reefs with deep learning

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

Live-cell imaging powered by computation

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

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

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

Glenohumeral joint force prediction with deep learning

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

Meta-learning to address diverse Earth observation problems across resolutions

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

Graph generative deep learning models with an application to circuit topologies

Cochains are all you need

Robust NAS under adversarial training: benchmark, theory, and beyond

Generalization of Scaled Deep ResNets in the Mean-Field Regime

DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization

Data for Paper “Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning”

Machine Learning for Modeling Stock Returns

Topics in statistical physics of high-dimensional machine learning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Partial discharge localization in power transformer tanks using machine learning methods

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

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Stochastic Simulations and Machine Learning Modeling to Predict Bedload Transport and Bed Topography

Understanding generalization and robustness in modern deep learning

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions

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

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

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

Unravelling the components of diffuse scattering using deep learning

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

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

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

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

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