Gods and Robots In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See... See More Episodes arXiv Whitepapers First-Explore, then Exploit: Meta-Learning Intelligent Exploration Standard reinforcement learning (RL) agents never intelligently explore like a human (i.e. by taking into account complex domain priors and previous explorations). Even the most basic intelligent exploration strategies such as exhaustive search are only inefficiently or poorly approximated by... Invertible Neural Skinning Building animatable and editable models of clothed humans from raw 3D scans and poses is a challenging problem. Existing reposing methods suffer from the limited expressiveness of Linear Blend Skinning (LBS), require costly mesh extraction to generate each new pose, and typically do not preserve... Faith and Fate: Limits of Transformers on Compositionality Transformer large language models (LLMs) have sparked admiration for their exceptional performance on tasks that demand intricate multi-step reasoning. Yet, these models simultaneously show failures on surprisingly trivial problems. This begs the question: Are these errors incidental, or do they... More featured content News Articles Machine learning uncovers potential new TB drugs What is an algorithm? How computers know what to do with data Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank Demystifying Statistical Significance Build a Branded Web Based GIS Application Using R, Leaflet and Flexdashboard Anticipating heart failure with machine learning Tools to Spot Deepfakes and AI-Generated Text Provably exact artificial intelligence for nuclear and particle physics Bias in AI: A Primer Crop Disease Detection Using Machine Learning and Computer Vision Simplified Mixed Feature Type Preprocessing in Scikit-Learn with Pipelines More news