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Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference

Jun 17, 2021
Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David Blei, Itsik Pe'er

* 15 pages, 9 figures 

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Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations

Nov 09, 2019
Iddo Drori, Darshan Thaker, Arjun Srivatsa, Daniel Jeong, Yueqi Wang, Linyong Nan, Fan Wu, Dimitri Leggas, Jinhao Lei, Weiyi Lu, Weilong Fu, Yuan Gao, Sashank Karri, Anand Kannan, Antonio Moretti, Mohammed AlQuraishi, Chen Keasar, Itsik Pe'er

* Machine Learning in Computational Biology, 2019 

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Particle Smoothing Variational Objectives

Sep 20, 2019
Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er

* 13 pages, 5 figures 

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High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures

Nov 17, 2018
Iddo Drori, Isht Dwivedi, Pranav Shrestha, Jeffrey Wan, Yueqi Wang, Yunchu He, Anthony Mazza, Hugh Krogh-Freeman, Dimitri Leggas, Kendal Sandridge, Linyong Nan, Kaveri Thakoor, Chinmay Joshi, Sonam Goenka, Chen Keasar, Itsik Pe'er

* NIPS 2018 Workshop on Machine Learning for Molecules and Materials, 10 pages 

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Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions

Nov 11, 2017
Avinash Bukkittu, Baihan Lin, Trung Vu, Itsik Pe'er

* 10th RECOMB/ISCB Conference on Regulatory & Systems Genomics with DREAM Challenges 

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