Antonio Khalil Moretti

According to our database, Antonio Khalil Moretti authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Fast hyperboloid decision tree algorithms.

Philippe Chlenski, Ethan Turok, Antonio Khalil Moretti, Itsik Pe'er

CoRR, 2023

2021

Variational Bayesian Methods for Inferring Spatial Statistics and Nonlinear Dynamics.

Antonio Khalil Moretti

PhD thesis, 2021

variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference.

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

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Variational Objectives for Markovian Dynamics with Backward Simulation.

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

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Autoencoding Topographic Factors.

Antonio Khalil Moretti, Andrew Stirn, Gabriel Marks, Itsik Pe'er

J. Comput. Biol., 2019

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations.

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 Khalil Moretti, Mohammed AlQuraishi, Chen Keasar, Itsik Pe'er

CoRR, 2019

AutoML using Metadata Language Embeddings.

Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell

CoRR, 2019

Particle Smoothing Variational Objectives.

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

CoRR, 2019

Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo.

Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018

A Novel Variational Family for Hidden Nonlinear Markov Models.

Daniel Hernández, Antonio Khalil Moretti, Ziqiang Wei, Shreya Saxena, John P. Cunningham, Liam Paninski

CoRR, 2018