Publication

Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement

Graph Chat

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.

Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement

Chat with Graph Search

Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases

An Analysis of Model Robustness across Concurrent Distribution Shifts

Fast-adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging

Low-Rank Adaptation for Transformers in Dynamic Hand Gesture Recognition Using High-Density Surface Electromyography

Learning Algorithms in the Limit

Preparing Teachers for an Equitable AI Integration in Education

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models

Neural decoding and feature selection methods for closed-loop control of avoidance behavior

Advances in Algorithms for Sampling, Optimization and Inference in Disordered Systems

Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations

A spinal neuroprosthesis against locomotor deficits in Parkinson's disease

Nissl_1, Raw images for Machine learning for histological annotation and quantification of cortical layers

Ground-based image deconvolution with Swin Transformer UNet

Optimal performance of Graph Convolutional Networks on the Contextual Stochastic Block Model

Unlocking Artificial Intelligence Adoption in Local Governments: Best Practice Lessons from Real-World Implementations

Learning sparse features can lead to overfitting in neural networks

The Esntorch Library: Efficient Implementation of Transformer-based Echo State Networks

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

GenIE: Generative Information Extraction

Spatio-Temporal Graph Neural Networks for Multi-Site PV Power Forecasting