Media Summary: e-Seminar on Scientific Machine Learning Speaker: Dr. Jan Drgona (PNNL) Abstract: In this talk, we will present a Q. Le Lidec, I. Kalevatykh, I. Laptev, C. Schmid and J. Carpentier, " Description: In this talk, we will present a

Add Analytically Differentiable Dynamics For - Detailed Analysis & Overview

e-Seminar on Scientific Machine Learning Speaker: Dr. Jan Drgona (PNNL) Abstract: In this talk, we will present a Q. Le Lidec, I. Kalevatykh, I. Laptev, C. Schmid and J. Carpentier, " Description: In this talk, we will present a Presentation for ICML 2021 paper "PODS: Policy Optimization via This is the supplementary video for our paper describing In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.

Jan Drgona, Pacific Northwest National Laboratory July 10, 2024 Fourth Symposium on Machine Learning and Tuur Stuyck and Hsiao-yu Chen Symposium on Computer Animation (SCA) 2023 Paper link : We ... Video abstract for "Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders" by Joseph ...

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ADD: Analytically Differentiable Dynamics for Multi -Body Systems with Frictional Contact
Differentiable Dynamics Simulation Using Invariant Contact Mapping and Damped Contact Force
Single-Level Differentiable Contact Simulation
Differentiable Programming for Modeling and Control of Dynamical Systems
Differentiable simulation for physical system identification
DDPS | Differentiable Programming for Modeling and Control of Dynamical Systems by Jan Drgona
PODS: Policy Optimization via Differentiable Simulation
Analytic Conditions for Differentiable Collision Detection in Trajectory Optimization
Differentiable Programming Part 1: Reverse-Mode AD Implementation
Differentiable Programming for Data-driven Modeling, Optimization, and Control
RSS 2021, Spotlight Talk 47: An End-to-End Differentiable Framework for Contact-Aware Robot Design
DiffXPBD : Differentiable Position-Based Simulation of Compliant Constraint Dynamics
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ADD: Analytically Differentiable Dynamics for Multi -Body Systems with Frictional Contact

ADD: Analytically Differentiable Dynamics for Multi -Body Systems with Frictional Contact

We present a

Differentiable Dynamics Simulation Using Invariant Contact Mapping and Damped Contact Force

Differentiable Dynamics Simulation Using Invariant Contact Mapping and Damped Contact Force

The gradient of typical

Single-Level Differentiable Contact Simulation

Single-Level Differentiable Contact Simulation

paper: https://arxiv.org/abs/2212.06764 code: https://github.com/simon-lc/Silico.jl.

Differentiable Programming for Modeling and Control of Dynamical Systems

Differentiable Programming for Modeling and Control of Dynamical Systems

e-Seminar on Scientific Machine Learning Speaker: Dr. Jan Drgona (PNNL) Abstract: In this talk, we will present a

Differentiable simulation for physical system identification

Differentiable simulation for physical system identification

Q. Le Lidec, I. Kalevatykh, I. Laptev, C. Schmid and J. Carpentier, "

DDPS | Differentiable Programming for Modeling and Control of Dynamical Systems by Jan Drgona

DDPS | Differentiable Programming for Modeling and Control of Dynamical Systems by Jan Drgona

Description: In this talk, we will present a

PODS: Policy Optimization via Differentiable Simulation

PODS: Policy Optimization via Differentiable Simulation

Presentation for ICML 2021 paper "PODS: Policy Optimization via

Analytic Conditions for Differentiable Collision Detection in Trajectory Optimization

Analytic Conditions for Differentiable Collision Detection in Trajectory Optimization

This is the supplementary video for our paper describing

Differentiable Programming Part 1: Reverse-Mode AD Implementation

Differentiable Programming Part 1: Reverse-Mode AD Implementation

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.

Differentiable Programming for Data-driven Modeling, Optimization, and Control

Differentiable Programming for Data-driven Modeling, Optimization, and Control

Jan Drgona, Pacific Northwest National Laboratory July 10, 2024 Fourth Symposium on Machine Learning and

RSS 2021, Spotlight Talk 47: An End-to-End Differentiable Framework for Contact-Aware Robot Design

RSS 2021, Spotlight Talk 47: An End-to-End Differentiable Framework for Contact-Aware Robot Design

An End-to-End

DiffXPBD : Differentiable Position-Based Simulation of Compliant Constraint Dynamics

DiffXPBD : Differentiable Position-Based Simulation of Compliant Constraint Dynamics

Tuur Stuyck and Hsiao-yu Chen Symposium on Computer Animation (SCA) 2023 Paper link : http://arxiv.org/abs/2301.01396 We ...

Deep Delay Autoencoders Discover Dynamical Systems w Latent Variables: Deep Learning meets Dynamics!

Deep Delay Autoencoders Discover Dynamical Systems w Latent Variables: Deep Learning meets Dynamics!

Video abstract for "Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders" by Joseph ...