A Novel Variational Family for Hidden Nonlinear Markov Models. - Daniel Hernández 010; Antonio Khalil Moretti; Ziqiang Wei; Shreya Saxena; John P. Cunningham; Liam Paninski (CoRR, 2018)

Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo. - Antonio Khalil Moretti; Zizhao Wang; Luhuan Wu; Itsik Pe'er (DGS@ICLR, 2019)

Particle Smoothing Variational Objectives. - Antonio Khalil Moretti; Zizhao Wang; Luhuan Wu; Iddo Drori; 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)

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; et al. (CoRR, 2019)

Autoencoding Topographic Factors. - Antonio Khalil Moretti; Andrew Stirn; Gabriel Marks; Itsik Pe'er (J. Comput. Biol., 2019)

Variational Objectives for Markovian Dynamics with Backward Simulation. - Antonio Khalil Moretti; Zizhao Wang; Luhuan Wu; Iddo Drori; Itsik Pe'er (ECAI, 2020)

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 (UAI, 2021)

Variational Bayesian Methods for Inferring Spatial Statistics and Nonlinear Dynamics. - Antonio Khalil Moretti (2021)

Fast Hyperboloid Decision Tree Algorithms. - Philippe Chlenski; Ethan Turok; Antonio Khalil Moretti; Itsik Pe'er (ICLR, 2024)

Mixed-curvature decision trees and random forests. - Philippe Chlenski; Quentin Chu; Raiyan R. Khan; Antonio Khalil Moretti; Itsik Pe'er (CoRR, 2024)

Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. - Hanming Yang; Antonio Khalil Moretti; Sebastian Macaluso; Philippe Chlenski; Christian A. Naesseth; Itsik Pe'er (Trans. Mach. Learn. Res., 2024)

Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space. - Alex Chen; Philippe Chlenski; Kenneth Munyuza; Antonio Khalil Moretti; Christian A. Naesseth; Itsik Pe'er (AISTATS, 2025)