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Antonio Khalil Moretti
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2020 – today
- 2024
- [c4]Philippe Chlenski, Ethan Turok, Antonio Khalil Moretti, Itsik Pe'er:
Fast Hyperboloid Decision Tree Algorithms. ICLR 2024 - [i7]Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er:
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. CoRR abs/2406.03242 (2024) - 2023
- [i6]Philippe Chlenski, Ethan Turok, Antonio Khalil Moretti, Itsik Pe'er:
Fast hyperboloid decision tree algorithms. CoRR abs/2310.13841 (2023) - 2021
- [b1]Antonio Khalil Moretti:
Variational Bayesian Methods for Inferring Spatial Statistics and Nonlinear Dynamics. Columbia University, USA, 2021 - [c3]Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er:
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference. UAI 2021: 971-981 - [i5]Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er:
Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference. CoRR abs/2106.00075 (2021) - 2020
- [c2]Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er:
Variational Objectives for Markovian Dynamics with Backward Simulation. ECAI 2020: 1371-1378
2010 – 2019
- 2019
- [j1]Antonio Khalil Moretti, Andrew Stirn, Gabriel Marks, Itsik Pe'er:
Autoencoding Topographic Factors. J. Comput. Biol. 26(6): 546-560 (2019) - [c1]Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er:
Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo. DGS@ICLR 2019 - [i4]Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er:
Particle Smoothing Variational Objectives. CoRR abs/1909.09734 (2019) - [i3]Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell:
AutoML using Metadata Language Embeddings. CoRR abs/1910.03698 (2019) - [i2]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:
Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations. CoRR abs/1911.05531 (2019) - 2018
- [i1]Daniel Hernández, Antonio Khalil Moretti, Ziqiang Wei
, Shreya Saxena, John P. Cunningham, Liam Paninski:
A Novel Variational Family for Hidden Nonlinear Markov Models. CoRR abs/1811.02459 (2018)
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last updated on 2024-08-08 19:15 CEST by the dblp team
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