Machine Learning / Computer Vision
Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J Fleet,
and Andrea Tagliasacchi, “RobustNeRF: Ignoring Distractors with Robust
Losses.” CVPR (2023). https://robustnerf.github.io/ (Hightlight,
10% of Accepted Papers)
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel
Duckworth, David J Fleet, Dan Gnanapragasam, Florian Golemo, Charles
Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam Laradji,
Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai,
Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour,
Mehdi SM Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing
Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng
Zhong, and Andrea Tagliasacchi. “Kubric: A scalable dataset generator.”
CVPR (2022).
Mehdi SM Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus
Greff, Noha Radwan, Suhani Vora, Mario Lučić, Daniel Duckworth,
Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, and Andrea
Tagliasacchi. “Scene Representation Transformer: Geometry-free novel
view synthesis through set-latent scene representations.” CVPR (2022).
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova,
Mehdi SM Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth.
“NeSF: Neural semantic fields for generalizable semantic segmentation of
3D scenes.” TMLR (2022). https://nesf3d.github.io/
Andreea Gane, David Belanger, David Dohan, Christof Angermueller,
Ramya Deshpande, Suhani Vora, Olivier Chapelle, Babak Alipanahi and
Lucy Colwell, “A Comparison of Generative Models for Sequence Design.”
Machine Learning in Computational Biology Meeting (2019).
David Belanger, Suhani Vora, Zelda Mariet, Ramya Deshpande, David
Dohan, Christof Angermüller, Kevin Murphy, Olivier Chapelle, Lucy J.
Colwell, “Biological Sequence Design using Batched Bayesian
Optimization.” Machine Learning and the Physical Sciences Workshop
NeurIPS (2019)
Suhani Vora, Reza Mahjourian, Soeren Pirk, Anelia Angelova,”Future
Semantic Segmentation Leveraging 3D Information.” ECCV 3D
Reconstruction meets Semantics Workshop (2018)
Biological Engineering
Suhani Vora, Nate VanDusen, Jenny Cheng, Ru Xiao, Luis Quintino, Luk
Vandenberghe, William Pu, Alejandro Chavez & George Church,
“Rational design of a compact CRISPR-Cas9 activator for AAV- mediated
delivery.” bioRxiv (2018).
Assaf C. Bester, Jonathan D. Lee*, Alejandro Chavez*, Yu-Ru Lee, Daphna
Nachmani, Suhani Vora, Joshua Victor, Martin Sauvageau, Emanuele
Monteleone, John L. Rinn, Paolo Provero, George M. Church, John G.
Clohessy & Pier Paolo Pandolfi, “An Integrated Genome Wide CRISPRa
Approach to Functionalize lncRNAs in Drug Resistance.” Cell (2018).
Scott W Olesen; Suhani Vora; Stephen M Techtmann; Julian L Fortney;
Juan R Bastidas-Oyanedel; Jorge Rodríguez; Terry C Hazen; Eric J Alm,”A
Novel Analysis Method for Paired-Sample Microbial Ecology
Experiments.” PLOS ONE (2016).
Suhani Vora, Marcelle Tuttle, Jenny Cheng, George Church, “Next stop
for the CRISPR revolution: RNA guided epigenetic regulators.” FEBS
(2016).
Samira Kiani*, Alejandro Chavez*, Marcelle Tuttle, Richard N Hall, Raj
Chari, Dmitry Ter-Ovanesyan, Jason Qian, Benjamin W Pruitt, Jacob
Beal, Suhani Vora, Joanna Buchthal, Emma J K Kowal, Mohammad R
Ebrahimkhani, James J Collins, Ron Weiss & George Church,”Cas9 gRNA
engineering for genome editing, activation and repression.” Nature
Methods, 12 (2015).
Alejandro Chavez*, Jonathan Scheiman*, Suhani Vora*, Benjamin W
Pruitt, Marcelle Tuttle, Eswar P R Iyer, Shuailiang Lin, Samira Kiani,
Christopher D Guzman, Daniel J Wiegand, Dmitry Ter-Ovanesyan,
Jonathan L Braff, Noah Davidsohn, Benjamin E Housden, Norbert
Perrimon, Ron Weiss, John Aach, James J Collins & George M Church,
“Highly efficient Cas9-mediated transcriptional programming.” Nature
Methods, 12 (2015): 326-328.
*denotes equal contribution.