1 citations · 1 across the 6 of their papers we have counts for
6 papers
Ortho2CAD: 3D CAD generation from orthographic drawings using vision language models
Aditya Joglekar, Amit Regmi, Kenji Shimada +1
Engineering design intent is often communicated through rasterized orthographic drawings. However, downstream workflows require editable and parametrically defined 3D computer-aide…
FLARE: Fast Low-rank Attention Routing Engine
Vedant Puri, Aditya Joglekar, Sri Datta Ganesh Bandreddi +4
The quadratic complexity of self-attention limits the scalability of transformers on long sequences. We introduce Fast Low-rank Attention Routing Engine (FLARE), a token-mixing ope…
Generative Manufacturing: A requirements and resource-driven approach to part making
Hongrui Chen, Aditya Joglekar, Zack Rubinstein +6
Advances in CAD and CAM have enabled engineers and design teams to digitally design parts with unprecedented ease. Software solutions now come with a range of modules for optimizin…
Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency
Hongrui Chen, Aditya Joglekar, Levent Burak Kara
We propose conditioning field initialization for neural network based topology optimization. In this work, we focus on (1) improving upon existing neural network based topology opt…
DMF-TONN: Direct Mesh-free Topology Optimization using Neural Networks
Aditya Joglekar, Hongrui Chen, Levent Burak Kara
We propose a direct mesh-free method for performing topology optimization by integrating a density field approximation neural network with a displacement field approximation neural…
Concurrent build direction, part segmentation, and topology optimization for additive manufacturing using neural networks
Hongrui Chen, Aditya Joglekar, Kate S. Whitefoot +1
We propose a neural network-based approach to topology optimization that aims to reduce the use of support structures in additive manufacturing. Our approach uses a network archite…