Automated Discovery of Pairwise Interactions from Unstructured Data

11 September 2024

Zuheng

Papers citing "Automated Discovery of Pairwise Interactions from Unstructured Data"

20 / 20 papers shown

Title
Virtual Cells: Predict, Explain, Discover Emmanuel Noutahi Jason Hartford Prudencio Tossou Shawn T. Whitfield Alisandra K. Denton ... Emmanuel Bengio Dominique Beaini Christopher Gibson Daniel Cohen Berton Earnshaw 74 0 0 20 May 2025
Season combinatorial intervention predictions with Salt & Peper Thomas Gaudelet Alice Del Vecchio Eli M. Carrami Juliana Cudini Chantriolnt-Andreas Kapourani Caroline Uhler Lindsay Edwards 90 9 0 25 Apr 2024
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder Michael D. Bereket Theofanis Karaletsos DRL 74 19 0 05 Nov 2023
Masked Autoencoders are Scalable Learners of Cellular Morphology Oren Z. Kraus Kian Kenyon-Dean Saber Saberian Maryam Fallah Peter McLean ... Chi Vicky Cheng Kristen Morse Maureen Makes Ben Mabey Berton Earnshaw 75 15 0 27 Sep 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 97 88 0 28 Feb 2023
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling Romain Lopez Natavsa Tagasovska Stephen Ra K. Cho J. Pritchard Aviv Regev OOD CML DRL 71 39 0 07 Nov 2022
Neural Design for Genetic Perturbation Experiments Aldo Pacchiano Drausin Wulsin Robert A. Barton L. Voloch 73 5 0 26 Jul 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 480 7,837 0 11 Nov 2021
GeneDisco: A Benchmark for Experimental Design in Drug Discovery Arash Mehrjou Ashkan Soleymani Andrew Jesson Pascal Notin Y. Gal Stefan Bauer Patrick Schwab 86 21 0 22 Oct 2021
On Linear Identifiability of Learned Representations Geoffrey Roeder Luke Metz Diederik P. Kingma CML 66 85 0 01 Jul 2020
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro Du Phan Neeraj Pradhan M. Jankowiak 66 360 0 24 Dec 2019
Understanding the Limitations of Variational Mutual Information Estimators Jiaming Song Stefano Ermon SSL DRL 74 204 0 14 Oct 2019
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 158 1,057 0 18 Oct 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 355 2,675 0 20 Aug 2018
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning Aapo Hyvarinen Hiroaki Sasaki Richard Turner OOD CML 100 331 0 22 May 2018
An Information-Theoretic Analysis of Thompson Sampling Daniel Russo Benjamin Van Roy 186 426 0 21 Mar 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 153 1,167 0 31 Dec 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 693 31,571 0 16 Jan 2013
Automated Variational Inference in Probabilistic Programming David Wingate T. Weber BDL TPM 101 139 0 07 Jan 2013
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 224 531 0 03 Mar 2010