François-Xavier Briol: Kernel-Based Robust Inference For Intractable Likelihood Models

François-Xavier Briol: Kernel-based robust inference for intractable likelihood models

Finnish Center for Artificial Intelligence FCAI

Statistical Inference for Generative Models with Maximum Mean Discrepancy

UCL Centre for Artificial Intelligence

10 August 2022: Zhuo Sun (supervisors: François-Xavier Briol and Jinghao Xue)

UCL Statistical Science seminars

FX Briol & Ingmar (Machines and Molecules E02)

MobiliT.AI 2023 - Francois-Xavier Briol

IRT Saint Exupéry

Francois-Xavier Briol

Kernel Based Support Vector Machines

Peripheral V1: Saliency; Central V1: Recognition, Recurrence; and the Bottleneck

Artificial Intelligence Colloquium: A New Paradigm of Brain-Computer Interface

DBMML workshop: Wilson Chen

UCL Statistical Science seminars

Talk by N. Chebrolu: Adaptive Robust Kernels for Non-Linear Least Squares Problems (RAL+ICRA'21)

Cyrill Stachniss

Gilles Louppe: Neural Likelihood-free Inference

Oxford ML and Physics Seminars

Netflix Research: Machine Learning

STREAMLINE AutoML: A Detailed Walkthrough

URBS-Lab with Ryan Urbanowicz

Bruno Olshausen: Robust and efficient, probabilistic inference in sparse coding networks

Hirak Jyoti Kashyap

Understand complex Research Papers in (half the time) Using AI

P.H.T Developer

Scenario 2: Cross-Device Federated Machine Learning Using Minimal Resources