Publication

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

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.

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

Chat with Graph Search

Eflop: a Sparsity-aware Metric for Evaluating Computational Cost in Spiking and Non-spiking Neural Networks

Topics in statistical physics of high-dimensional machine learning

Interact with Earth Observation Images using AI: Transparent Methods and Evaluation for Visual Question Answering

Robust machine learning for neuroscientific inference

How Gradient Descent Balances Features: A Dynamical Analysis For Two-Layer Neural Networks

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

Learning to Assemble with Alternative Plans

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

Self-supervised and few-shot learning for robust bioaerosol monitoring

Random matrix methods for high-dimensional machine learning models

Foundations of a New Learning Paradigm in AI Grounded in the Principles of Evolutionary Developmental Biology

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Improving the accuracy and interpretability of neural networks for wind power forecasting

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Using deep reinforcement learning to investigate stretch feedback during swimming of the lamprey

Towards Trustworthy Deep Learning for Image Reconstruction

Mspo: a Machine Learning Hyperparameter Optimization Method for Enhanced Breast Cancer Image Classification

Aggregating Spatial and Photometric Context for Photometric Stereo

A phase transition between positional and semantic learning in a solvable model of dot-product attention

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