Antonio Khalil Moretti

18 papers A* 2A 3Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Mixed-curvature decision trees and random forests. ICML Philippe Chlenski, Quentin Chu, Raiyan R. Khan, Kaizhu Du, Antonio Khalil Moretti, Itsik Pe'er
2025	A	`conf`	Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space. AISTATS Alex Chen, Philippe Chlenski, Kenneth Munyuza, Antonio Khalil Moretti, Christian A. Naesseth, Itsik Pe'er
2025	J	`jnl`	Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space. CoRR Alex Chen, Philippe Chlenski, Kenneth Munyuza, Antonio Khalil Moretti, Christian A. Naesseth, Itsik Pe'er
2024	A*	`conf`	Fast Hyperboloid Decision Tree Algorithms. ICLR Philippe Chlenski, Ethan Turok, Antonio Khalil Moretti, Itsik Pe'er
2024	J	`jnl`	Mixed-curvature decision trees and random forests. CoRR Philippe Chlenski, Quentin Chu, Raiyan R. Khan, Antonio Khalil Moretti, Itsik Pe'er
2024	J	`jnl`	Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. CoRR Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
2024	J	`jnl`	Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. Trans. Mach. Learn. Res. Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
2023	J	`jnl`	Fast hyperboloid decision tree algorithms. CoRR Philippe Chlenski, Ethan Turok, Antonio Khalil Moretti, Itsik Pe'er
2021	—	`—`	Variational Bayesian Methods for Inferring Spatial Statistics and Nonlinear Dynamics. Antonio Khalil Moretti
2021	J	`jnl`	Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference. CoRR Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er
2021	A	`conf`	variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference. UAI Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er
2020	A	`conf`	Variational Objectives for Markovian Dynamics with Backward Simulation. ECAI Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er
2019	J	`jnl`	Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations. CoRR 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
2019	J	`jnl`	AutoML using Metadata Language Embeddings. CoRR Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell
2019	J	`jnl`	Autoencoding Topographic Factors. J. Comput. Biol. Antonio Khalil Moretti, Andrew Stirn, Gabriel Marks, Itsik Pe'er
2019	J	`jnl`	Particle Smoothing Variational Objectives. CoRR Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er
2019	—	`conf`	Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo. DGS@ICLR Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er
2018	J	`jnl`	A Novel Variational Family for Hidden Nonlinear Markov Models. CoRR Daniel Hernández, Antonio Khalil Moretti, Ziqiang Wei, Shreya Saxena, John P. Cunningham, Liam Paninski