Media Summary: Talk recorded on September 26th 2023 Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations ... Virtual Workshop Hosted by TAMIDS Digital Twin Lab (1/28/2025) Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations (

Neuromancer Differentiable Programming Library For - Detailed Analysis & Overview

Talk recorded on September 26th 2023 Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations ... Virtual Workshop Hosted by TAMIDS Digital Twin Lab (1/28/2025) Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations ( Deep learning has led to encouraging successes in many challenging tasks. However, a deep neural model lacks interpretability ... About: In this work, we simultaneously learn neural control policies and neural Lyapunov functions by differentiating the ... Abstract: This talk presents a control-oriented perspective on Scientific Machine Learning (SciML) for modeling, optimization, and ...

Neural Abstract Machines & Program Induction v2 workshop (NAMPI v2) @ ICML 2018 Webpage:

Photo Gallery

Ján Drgoňa - Neuromancer: Differentiable Programming Library for Data-driven Modelling and Control
Neuromancer: Differentiable Programming Library for Data-Driven Modeling and Control
Jan Drgona - Neuromancer - Differentiable Programming Library for Data-driven Modelling and Control
Differentiable Optimization as Lingua Franca for Scientific Machine Learning  - Sandia MLDL Workshop
Differentiable Programming via Differentiable Search of Program Structures
Introduction to NeuroMANCER Scientific Machine Learning Library
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
Jan Margeta - Differentiable programming in Python and Gluon for (not only medical) image analysis
Neural Lyapunov Differentiable Predictive Control
Parameter estimation of ordinary differential equations in NeuroMANCER
Scientific Machine Learning for Modeling, Optimization, and Control - Ján Drgoňa (17.11.2025)
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach
View Detailed Profile
Ján Drgoňa - Neuromancer: Differentiable Programming Library for Data-driven Modelling and Control

Ján Drgoňa - Neuromancer: Differentiable Programming Library for Data-driven Modelling and Control

Talk recorded on September 26th 2023 Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations ...

Neuromancer: Differentiable Programming Library for Data-Driven Modeling and Control

Neuromancer: Differentiable Programming Library for Data-Driven Modeling and Control

Virtual Workshop Hosted by TAMIDS Digital Twin Lab (1/28/2025)

Jan Drgona - Neuromancer - Differentiable Programming Library for Data-driven Modelling and Control

Jan Drgona - Neuromancer - Differentiable Programming Library for Data-driven Modelling and Control

Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations (

Differentiable Optimization as Lingua Franca for Scientific Machine Learning  - Sandia MLDL Workshop

Differentiable Optimization as Lingua Franca for Scientific Machine Learning - Sandia MLDL Workshop

Title:

Differentiable Programming via Differentiable Search of Program Structures

Differentiable Programming via Differentiable Search of Program Structures

Deep learning has led to encouraging successes in many challenging tasks. However, a deep neural model lacks interpretability ...

Introduction to NeuroMANCER Scientific Machine Learning Library

Introduction to NeuroMANCER Scientific Machine Learning Library

NeuroMANCER

Deep Learning Explicit Differentiable Predictive Control Laws for Buildings

Deep Learning Explicit Differentiable Predictive Control Laws for Buildings

About: We demonstrate the use of

Jan Margeta - Differentiable programming in Python and Gluon for (not only medical) image analysis

Jan Margeta - Differentiable programming in Python and Gluon for (not only medical) image analysis

Jan Margeta -

Neural Lyapunov Differentiable Predictive Control

Neural Lyapunov Differentiable Predictive Control

About: In this work, we simultaneously learn neural control policies and neural Lyapunov functions by differentiating the ...

Parameter estimation of ordinary differential equations in NeuroMANCER

Parameter estimation of ordinary differential equations in NeuroMANCER

Differentiable

Scientific Machine Learning for Modeling, Optimization, and Control - Ján Drgoňa (17.11.2025)

Scientific Machine Learning for Modeling, Optimization, and Control - Ján Drgoňa (17.11.2025)

Abstract: This talk presents a control-oriented perspective on Scientific Machine Learning (SciML) for modeling, optimization, and ...

Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach

Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach

About: We develop a novel form of

NAMPI v2 - Richard Evans - Differentiable Inductive Logic Programming

NAMPI v2 - Richard Evans - Differentiable Inductive Logic Programming

Neural Abstract Machines & Program Induction v2 workshop (NAMPI v2) @ ICML 2018 Webpage: https://uclmr.github.io/nampi/ ...