Media Summary: Presented at CVPR 2019 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics. Humans have a remarkable ... Alejandro Murillo-González and Lantao Liu. "Situationally-aware Title: mimic-video: Video-Action Models for

Learning Generalizable Final State Dynamics - Detailed Analysis & Overview

Presented at CVPR 2019 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics. Humans have a remarkable ... Alejandro Murillo-González and Lantao Liu. "Situationally-aware Title: mimic-video: Video-Action Models for Speaker: John Harlim Event: Second Symposium on Machine Yaroslav Gusev for ANC Journal Club. Join us on telegram Date: 3 November, 2023 Speaker: Prof. Xiao Liang Qi Holographic duality refers to the correspondence between quantum gravity ...

EE380: Computer Systems Colloquium Seminar Towards theories of single-trial high dimensional neural data analysis Speaker: ... This is a video supplement to the book "Modern Robotics: Mechanics, Planning, and Control," by Kevin Lynch and Frank Park, ... Program : Bangalore School on Statistical Physics-XVI ORGANIZERS : Abhishek Dhar (ICTS-TIFR Bengaluru, India) and Sanjib ... Program: Generalised symmetries and anomalies in quantum phases of matter ORGANIZERS: Subhro Bhattacharjee (ICTS-TIFR, ... Geometric and Algebraic Structures in Mathematics A Conference to celebrate Dennis Sullivan's 70th birthday Mathematics ... MINDS Seminar n°3 - Machine learning for fluid dynamics, by C. Lapeyre

In this AI Research Roundup episode, Alex discusses the paper: 'Neural Robot

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Learning Generalizable Final-State Dynamics of 3D Rigid Objects
IJRR 2026: Situationally-Aware Dynamics Learning
mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs (Dec 2025)
Learning Missing Dynamics from Data
"Molecular Learning Dynamics," by Yaroslav Gusev and Vitaly Vanchurin
DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control (Mar 2026)
Emergent spacetime from generalized free fields | Prof. Xiao Liang Qi
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks in High Dimension
R10. Steady State Dynamics
Stanford Seminar - Towards theories of single-trial high dimensional neural data analysis
Modern Robotics, Chapter 8.1:  Lagrangian Formulation of Dynamics (Part 1 of 2)
Bellman Equations, Dynamic Programming, Generalized Policy Iteration | Reinforcement Learning Part 2
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Learning Generalizable Final-State Dynamics of 3D Rigid Objects

Learning Generalizable Final-State Dynamics of 3D Rigid Objects

Presented at CVPR 2019 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics. Humans have a remarkable ...

IJRR 2026: Situationally-Aware Dynamics Learning

IJRR 2026: Situationally-Aware Dynamics Learning

Alejandro Murillo-González and Lantao Liu. "Situationally-aware

Sponsored
mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs (Dec 2025)

mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs (Dec 2025)

Title: mimic-video: Video-Action Models for

Learning Missing Dynamics from Data

Learning Missing Dynamics from Data

Speaker: John Harlim Event: Second Symposium on Machine

"Molecular Learning Dynamics," by Yaroslav Gusev and Vitaly Vanchurin

"Molecular Learning Dynamics," by Yaroslav Gusev and Vitaly Vanchurin

Yaroslav Gusev for ANC Journal Club. Join us on telegram https://t.me/ANCJournalClub.

Sponsored
DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control (Mar 2026)

DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control (Mar 2026)

Title: DiT4DiT: Jointly Modeling Video

Emergent spacetime from generalized free fields | Prof. Xiao Liang Qi

Emergent spacetime from generalized free fields | Prof. Xiao Liang Qi

Date: 3 November, 2023 Speaker: Prof. Xiao Liang Qi Holographic duality refers to the correspondence between quantum gravity ...

The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks in High Dimension

The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks in High Dimension

Wei Hu (Princeton University) ...

R10. Steady State Dynamics

R10. Steady State Dynamics

MIT 2.003SC Engineering

Stanford Seminar - Towards theories of single-trial high dimensional neural data analysis

Stanford Seminar - Towards theories of single-trial high dimensional neural data analysis

EE380: Computer Systems Colloquium Seminar Towards theories of single-trial high dimensional neural data analysis Speaker: ...

Modern Robotics, Chapter 8.1:  Lagrangian Formulation of Dynamics (Part 1 of 2)

Modern Robotics, Chapter 8.1: Lagrangian Formulation of Dynamics (Part 1 of 2)

This is a video supplement to the book "Modern Robotics: Mechanics, Planning, and Control," by Kevin Lynch and Frank Park, ...

Bellman Equations, Dynamic Programming, Generalized Policy Iteration | Reinforcement Learning Part 2

Bellman Equations, Dynamic Programming, Generalized Policy Iteration | Reinforcement Learning Part 2

The machine

Introduction to Generalized Hydrodynamics (Lecture 1)  by Benjamin Doyon

Introduction to Generalized Hydrodynamics (Lecture 1) by Benjamin Doyon

Program : Bangalore School on Statistical Physics-XVI ORGANIZERS : Abhishek Dhar (ICTS-TIFR Bengaluru, India) and Sanjib ...

Symmetries in Quantum Dynamics by Sanjay Moudgalya

Symmetries in Quantum Dynamics by Sanjay Moudgalya

Program: Generalised symmetries and anomalies in quantum phases of matter ORGANIZERS: Subhro Bhattacharjee (ICTS-TIFR, ...

Fluid dynamics III - Alexander Shnirelman

Fluid dynamics III - Alexander Shnirelman

Geometric and Algebraic Structures in Mathematics A Conference to celebrate Dennis Sullivan's 70th birthday Mathematics ...

Introduction to Generalized Hydrodynamics (Lecture 2)  by Benjamin Doyon

Introduction to Generalized Hydrodynamics (Lecture 2) by Benjamin Doyon

Program : Bangalore School on Statistical Physics-XVI ORGANIZERS : Abhishek Dhar (ICTS-TIFR Bengaluru, India) and Sanjib ...

MINDS Seminar n°3 - Machine learning for fluid dynamics, by C. Lapeyre

MINDS Seminar n°3 - Machine learning for fluid dynamics, by C. Lapeyre

MINDS Seminar n°3 - Machine learning for fluid dynamics, by C. Lapeyre

Learning a Generalizable Trajectory Sampling Distribution for Model Predictive Control

Learning a Generalizable Trajectory Sampling Distribution for Model Predictive Control

Video accompanying the paper "

NeRD: Generalizable Neural Robot Simulator

NeRD: Generalizable Neural Robot Simulator

In this AI Research Roundup episode, Alex discusses the paper: 'Neural Robot

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