PHLOWER: A powerful trajectory inference method using... - Mingbo Cheng - Poster - ISMB/ECCB 2023
Manu Setty: Computational modeling of lineage decision mechanisms using single-cell data
[AI paper] CTM: Advanced Single-Step DIffusion Model for Fast and High-Quality Sampling (日本語字幕付)
Federated learning, Model Parallelism, and Variational Inference - AI Quorum | MBZUAI
Hugo Caselles-Dupré - Pragmatically Learning from Pedagogical Teaching Signals in Multi-Goal Envs
Matt Perich: Merging neural and behavioral modularity through brain-wide compositional modes
PaperView: "ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting"
Computer Vision with Image Preprocessing and Tensor Processing Units (TPU)
tinyML Talks - Unmesh Kurup: A weight-averaging approach to speeding up model training on...
MIT Robotics - Hao Su - Generic and Generalizable Manipulation Skill Benchmarking and Learning
AI / ML in Visuals. Online Course Presentation. Vadim Epstein & Stanislav Glazov
Geospatial Data and Analysis for Monitoring and Evaluation
Learning Object Recognition with Rich Language Descriptions | Liunian Li, PhD@UCLA
CVPR 2019 Oral Session 3-2C: Low-level & Optimization
ActInf Livestream #038.0 ~ Brain architectures for predictive coding and active inference
The 2024 Oppenheimer Lecture featuring Andrea Liu
Robot motion learning
The Free Energy Principle and predictive processing
Last Day of Exams at IIT Delhi 😫🔥🥳 #minivlog #short #iit #collegelife
Gesualdo Scutari "Bringing Statistical Thinking in Distributed Optimization"