Publication

Adapted Generative Models For Face Verification

About
Privacy
Disclaimer

Graph Chatbot

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.

Adapted Generative Models For Face Verification

Graph Chatbot

Chat with Graph Search

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Boosting likelihood learning with event reweighting

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Robust machine learning for neuroscientific inference

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Reliable data-driven decision-making through optimal transport

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

Fashioning Creative Expertise with Generative AI: Graphical Interfaces for GAN-Based Design Space Exploration Better Support Ideation Than Text Prompts for Diffusion Models