YoVDO

Deep Learning Advances in Uncertainty and Generative Modeling - Session 1

Offered By: Uncertainty in Artificial Intelligence via YouTube

Tags

Deep Learning Courses Generative Modeling Courses Program Synthesis Courses Bayesian Deep Learning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Attend a 2-hour oral session on deep learning from the Uncertainty in Artificial Intelligence (UAI) 2024 conference. Explore cutting-edge research presentations on topics including Bayesian deep learning, constrained generative modeling, neural visual concept composition, conformal regression with normalizing flows, and deep heteroskedastic regression. Gain insights from five talks covering functional Wasserstein bridge inference, reflected Schrödinger bridges, learning to compose visual concepts as programs, normalizing flows applications, and understanding pathologies in regression models. Access the full research papers via the provided OpenReview links to delve deeper into the methodologies, experiments, and findings presented by leading researchers in the field of deep learning and uncertainty quantification.

Syllabus

UAI 2024 Oral Session 1: Deep Learning


Taught by

Uncertainty in Artificial Intelligence

Related Courses

Stanford Seminar - Concepts and Questions as Programs
Stanford University via YouTube
DreamCoder- Growing Generalizable, Interpretable Knowledge With Wake-Sleep Bayesian Program Learning
Yannic Kilcher via YouTube
A Neural Network Solves and Generates Mathematics Problems by Program Synthesis - Paper Explained
Aleksa Gordić - The AI Epiphany via YouTube
EI Seminar - Recent Papers in Embodied Intelligence
Massachusetts Institute of Technology via YouTube
Using Program Synthesis to Build Compilers
Simons Institute via YouTube