AAAI 2022 Workshop ADAM Submissions

Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning
Soren Taverniers, Svyatoslav Korneev, Kyle Mitchell Pietrzyk, Morad Behandish
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components
Ranjan Anantharaman, Anas Abdelrehim, Francesco Martinuzzi, Sharan Yalburgi, Elliot Saba, Keno Fischer, Glen Hertz, Pepijn de Vos, Chris Laughman, Yingbo Ma, Viral Shah, Alan Edelman, Chris Rackauckas
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Physics Informed Machine Learning with Misspecified Priors: \\An analysis of Turning Operation in Lathe Machines
Zhiyuan Zhao, Xueying Ding, Gopaljee Atulya, Alex Davis, Aarti Singh
- Published: 23 May 2023, Last Modified: 03 Nov 2024
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Multigrid Distributed Deep CNNs for Structural Topology Optimization
Jaydeep Rade, Aditya Balu, Ethan Herron, Anushrut Jignasu, Sergio Botelho, Santi Adavani, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Deep Generative Models for Geometric Design Under Uncertainty
Wei Chen, Doksoo Lee, Wei Chen
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Multi-Fidelity Modeling of Spatio-Temporal Fields
Sudeepta Mondal, Soumalya Sarkar
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Fast Unsupervised Generative Design for Structural Topology Optimization
Ethan Herron, Anushrut Jignasu, Jaydeep Rade, Xian Yeow Lee, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Gaussian Process-Driven History Matching for Physical Layer Parameter Estimation in Optical Fiber Communication Networks
Josh William Nevin, Sam Nallaperuma, Seb Savory
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
An Epsilon-Frontier for Faster Optimization in Nonlinear Manifold Learning
Arthur Drake, Qiuyi Chen, Mark Fuge
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Inverse Design of Microstructures via Generative Networks for Organic Solar Cells
Xian Yeow Lee, Aditya Balu, Balaji Sesha Sarath Pokuri, Adarsh Krishnamurthy, Soumik Sarkar, Baskar Ganapathysubramanian
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Grassmannian Shape Representations for Aerodynamic Applications
Olga Doronina, Zachary Grey, Andrew Glaws
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
AI-Driven Design-Space Exploration for Thermo-Fluid Domains
Amit Bhatia, Kathryn Kirsch, Claudio Pinello, Ram Ranjan
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Differentiable Design With Dynamic Programming
Kelly O. Marshall, Minsu Cho, Chinmay Hegde
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
GANISP: a GAN-assisted Importance SPlitting Probability Estimator
Malik Hassanaly, Andrew Glaws, Ryan Nicholas King
- Published: 23 May 2023, Last Modified: 03 Nov 2024
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Deep Symbolic Optimization for Electric Component Sizing in Fixed Topology Power Converters
Ruben Glatt, Felipe Leno da Silva, VAN HAI BUI, Can Huang, Lingxiao Xue, Mengqi Wang, Fangyuan Chang, Yi Murphey, Wencong Su
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Automating the Process of Energy-Technology Invention
David E Tew, Mihaela Quirk, Lipi Acharya
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Parallel Attention Network using Vector with High Correlation with Label for Remaining Useful Life Estimation
Ye-In Park, Jouwon Song, Suk-Ju Kang
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Quantile Autoencoder for Anomaly Detection
Hogeon Seo, Seunghyoung Ryu, Jiyeon Yim, Junghoon Seo, Yonggyun Yu
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Data-Efficient Training with Physics-Enhanced Deep Surrogates
Raphaël Pestourie, Youssef Mroueh, Christopher Vincent Rackauckas, Payel Das, Steven Glenn Johnson
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
An Intelligent System for Automatic Selection of DC-DC Converter Topology with Optimal Design
Song Wang, Yi Murphey, Wencong Su, Mengqi Wang, VAN HAI BUI, Fangyuan Chang, Can Huang, Lingxiao Xue, Felipe Leno da Silva, Ruben Glatt
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Deep Reinforcement Learning for Engineering Design through Topology Optimization of Elementally Discretized Design Domains
Nathan Brown, Anthony Garland, Georges Fadel, Gang Li
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Anomaly Segmentation Network Using Self-Supervised Learning
Jouwon Song, Kyeongbo Kong, Ye-In Park, Seong-Gyun Kim, Suk-Ju Kang
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing
Loc Truong, WoongJo Choin, Colby Wight, Elizabeth Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
- Published: 23 May 2023, Last Modified: 23 May 2023
- AAAI 2022 Workshop ADAM
- Readers: Everyone