77 citations · 233 across the 52 of their papers we have counts for
5 papers · 1 filter
Latent Diffusion Models for Structural Component Design
Ethan Herron, Jaydeep Rade, Anushrut Jignasu +4
Recent advances in generative modeling, namely Diffusion models, have revolutionized generative modeling, enabling high-quality image generation tailored to user needs. This paper…
Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension
Anushrut Jignasu, Kelly Marshall, Baskar Ganapathysubramanian +3
3D printing or additive manufacturing is a revolutionary technology that enables the creation of physical objects from digital models. However, the quality and accuracy of 3D print…
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision
Kelly O. Marshall, Minh Pham, Ameya Joshi +4
Current state-of-the-art methods for text-to-shape generation either require supervised training using a labeled dataset of pre-defined 3D shapes, or perform expensive inference-ti…
Out-of-distribution detection algorithms for robust insect classification
Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi +5
Deep learning-based approaches have produced models with good insect classification accuracy; Most of these models are conducive for application in controlled environmental conditi…
SpecXAI -- Spectral interpretability of Deep Learning Models
Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy +2
Deep learning is becoming increasingly adopted in business and industry due to its ability to transform large quantities of data into high-performing models. These models, however,…