activity
20182026
most citedAccelerating Material Design with the Generative Toolkit for Scientific Discovery

37 citations · 128 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.AI2023★ 18 cited

From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design

Cyril Picard, Kristen M. Edwards, Anna C. Doris +4

Engineering design is undergoing a transformative shift with the advent of AI, marking a new era in how we approach product, system, and service planning. Large language models hav…

cs.LG2023★ 2 cited

Constraining Generative Models for Engineering Design with Negative Data

Lyle Regenwetter, Giorgio Giannone, Akash Srivastava +2

Generative models have recently achieved remarkable success and widespread adoption in society, yet they often struggle to generate realistic and accurate outputs. This challenge e…

cs.LG2023★ 11 cited

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation

Giorgio Giannone, Akash Srivastava, Ole Winther +1

Generative models have had a profound impact on vision and language, paving the way for a new era of multimodal generative applications. While these successes have inspired researc…

cs.LG2023★ 1 cited

Diffusing the Optimal Topology: A Generative Optimization Approach

Giorgio Giannone, Faez Ahmed

Topology Optimization seeks to find the best design that satisfies a set of constraints while maximizing system performance. Traditional iterative optimization methods like SIMP ca…

cs.LG2023★ 25 cited

Unifying Molecular and Textual Representations via Multi-task Language Modelling

Dimitrios Christofidellis, Giorgio Giannone, Jannis Born +3

The recent advances in neural language models have also been successfully applied to the field of chemistry, offering generative solutions for classical problems in molecular desig…