Search Results for author: Antonio Khalil Moretti

Found 5 papers, 3 papers with code

Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference

1 code implementation31 May 2021 Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David Blei, Itsik Pe'er

Bayesian phylogenetic inference is often conducted via local or sequential search over topologies and branch lengths using algorithms such as random-walk Markov chain Monte Carlo (MCMC) or Combinatorial Sequential Monte Carlo (CSMC).

AutoML using Metadata Language Embeddings

2 code implementations8 Oct 2019 Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell

We use these embeddings in a neural architecture to learn the distance between best-performing pipelines.

AutoML

Particle Smoothing Variational Objectives

1 code implementation20 Sep 2019 Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er

We apply SVO to three nonlinear latent dynamics tasks and provide statistics to rigorously quantify the predictions of filtered and smoothed objectives.

Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data

no code implementations6 Nov 2018 Daniel Hernandez, Antonio Khalil Moretti, Ziqiang Wei, Shreya Saxena, John Cunningham, Liam Paninski

We present Variational Inference for Nonlinear Dynamics (VIND), a variational inference framework that is able to uncover nonlinear, smooth latent dynamics from sequential data.

Time Series Time Series Analysis +1

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