Patrick Emami

Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC

Dec 20, 2022
Patrick Emami, Aidan Perreault, Jeffrey Law, David Biagioni, Peter C. St. John

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* 33 pages, 8 figures. Under review. Code is available at https://github.com/pemami4911/ppde. A short version of this work appeared at the NeurIPS 2022 Machine Learning in Structural Biology Workshop

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Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations

Sep 07, 2022
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

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Slot Order Matters for Compositional Scene Understanding

Jun 03, 2022
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan

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* 30 pages, 17 figures. Code and videos available at https://github.com/pemami4911/segregate-relate-imagine

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Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions

Mar 23, 2022
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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* Published in AAAI Conference on Artificial Intelligence (2022)

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Learning Scene Dynamics from Point Cloud Sequences

Nov 16, 2021
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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* Accepted for publication in International Journal of Computer Vision, Special Issue on 3D Computer Vision. Code and data: https://github.com/BestSonny/SPCM

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