Laboratory for Intelligent Probabilistic Systems (original) (raw)

We are a research group working on both core methods in machine learning and artificial intelligence, as well as collaborative applications across science and engineering. Some of the topics we're interested in include

• automatic differentiation [1, 2]
• Monte Carlo methods [3, 4]
• Bayesian inference [5, 6]
• ML-accelerated design and simulation [7, 8]
• group symmetry in machine learning architectures [9]
• materials science and chemistry [10, 11, 12, 13]
• computational fabrication [14, 15]
• generative modeling [16, 17]
• reinforcement learning and control [18, 19]

Recent Publications

1. Mirramezani, M., Oktay, D., & Adams, R. P. (2024). A rapid and automated computational approach to the design of multistable soft actuators. Computer Physics Communicationsn.[PDF]bibtex/details
2. Novick, A., Cai, D., Nguyen, Q., Garnett, R., Adams, R. P., & Toberer, E. (2024). Probabilistic Prediction of Material Stability: Integrating Convex Hulls into Active Learning. ArXiv Preprint ArXiv:2402.15582.[PDF]bibtex/details
3. Bordiga, G., Medina, E., Jafarzadeh, S., Boesch, C., Adams, R. P., Tournat, V., & Bertoldi, K. (2024). Automated discovery of reprogrammable nonlinear dynamic metamaterials. ArXiv Preprint ArXiv:2403.08078.[PDF]bibtex/details
4. Liu, S., Ramadge, P. J., & Adams, R. P. (2024). Generative Marginalization Models. Proceedings of the 41st International Conference on Machine Learning (ICML).[PDF]bibtex/details
5. Pastrana, R., Oktay, D., Adams, R. P., & Adriaenssens, S. (2023). JAX FDM: A differentiable solver for inverse form-finding. ArXiv Preprint ArXiv:2307.12407.[PDF]bibtex/details

Recent Blog Posts

Ari Seff · September 25, 2021 Vitruvion: A Generative Model of Parametric CAD Sketches

Geoffrey Roeder · September 28, 2020 Using 3D Printing to Develop Rapid-Response PPE Manufacturing

Ryan Adams · September 27, 2020 Video: Introduction to Convex Optimization

Ryan Adams · September 20, 2020 Video: Basics of Optimization

Ryan Adams · September 13, 2020 Video: Information Theory Basics

Current Collaborators

• Sigrid Adriaennsens
• Katia Bertoldi
• Abigail Doyle
• Elif Ertekin
• Tom Griffiths
• Peter Orbanz
• Peter Ramadge
• Szymon Rusinkiewicz
• Yee Whye Teh
• Eric Toberer

Funding

• National Science Foundation
• Siemens
• Templeton Foundation
• Princeton Catalyst Initiative
• Schmidt DataX
• Ansys