Exploratory analysis and visualization of speech and music by locally linear embedding. - Viren Jain; Lawrence K. Saul (ICASSP (3), 2004)

A Smorgasbord of Features for Statistical Machine Translation. - Franz Josef Och; Daniel Gildea; Sanjeev Khudanpur; Anoop Sarkar; Kenji Yamada; Alexander M. Fraser; Shankar Kumar; Libin Shen; David Smith; Katherine Eng; Viren Jain; Zhen Jin 007; et al. (HLT-NAACL, 2004)

Representing Part-Whole Relationships in Recurrent Neural Networks. - Viren Jain; Valentin P. Zhigulin; H. Sebastian Seung (NIPS, 2005)

Supervised Learning of Image Restoration with Convolutional Networks. - Viren Jain; Joseph F. Murray; Fabian Roth; Srinivas C. Turaga; Valentin P. Zhigulin; Kevin L. Briggman; Moritz Helmstaedter; Winfried Denk; H. Sebastian Seung (ICCV, 2007)

Natural Image Denoising with Convolutional Networks. - Viren Jain; H. Sebastian Seung (NIPS, 2008)

Boundary Learning by Optimization with Topological Constraints. - Viren Jain; Benjamin Bollmann; Mark Richardson; Daniel R. Berger; Moritz Helmstaedter; Kevin L. Briggman; Winfried Denk; Jared B. Bowden; John M. Mendenhall; Wickliffe C. Abraham; Kristen M. Harris; Narayanan Kasthuri; et al. (CVPR, 2010)

Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation. - Srinivas C. Turaga; Joseph F. Murray; Viren Jain; Fabian Roth; Moritz Helmstaedter; Kevin L. Briggman; Winfried Denk; H. Sebastian Seung (Neural Comput., 2010)

Learning to Agglomerate Superpixel Hierarchies. - Viren Jain; Srinivas C. Turaga; Kevin L. Briggman; Moritz Helmstaedter; Winfried Denk; H. Sebastian Seung (NIPS, 2011)

Learned versus Hand-Designed Feature Representations for 3d Agglomeration. - John A. Bogovic; Gary B. Huang; Viren Jain (ICLR, 2014)

Deep and Wide Multiscale Recursive Networks for Robust Image Labeling. - Gary B. Huang; Viren Jain (ICLR (Poster), 2014)

Combinatorial Energy Learning for Image Segmentation. - Jeremy B. Maitin-Shepard; Viren Jain; Michal Januszewski; Peter Li; Pieter Abbeel (NIPS, 2016)

Flood-Filling Networks. - Michal Januszewski; Jeremy Maitin-Shepard; Peter Li; Jörgen Kornfeld; Winfried Denk; Viren Jain (CoRR, 2016)

Solving Large Multicut Problems for Connectomics via Domain Decomposition. - Constantin Pape; Thorsten Beier; Peter Li; Viren Jain; Davi D. Bock; Anna Kreshuk (ICCV Workshops, 2017)

Adversarial Image Alignment and Interpolation. - Viren Jain (CoRR, 2017)

Superhuman Accuracy on the SNEMI3D Connectomics Challenge. - Kisuk Lee; Jonathan Zung; Peter Li; Viren Jain; H. Sebastian Seung (CoRR, 2017)

Morphological Error Detection in 3D Segmentations. - David Rolnick; Yaron Meirovitch; Toufiq Parag; Hanspeter Pfister; Viren Jain; Jeff W. Lichtman; Edward S. Boyden; Nir Shavit (CoRR, 2017)

Neuronal Subcompartment Classification and Merge Error Correction. - Hanyu Li; Michal Januszewski; Viren Jain; Peter H. Li (MICCAI (5), 2020)

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. - Charlotte Bunne; Yusuf H. Roohani; Yanay Rosen; Ankit Gupta; Xikun Zhang 001; Marcel Roed; Theo Alexandrov; Mohammed AlQuraishi; Patricia Brennan; Daniel B. Burkhardt; Andrea Califano; Jonah Cool; et al. (CoRR, 2024)

ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish. - Jan-Matthis Lueckmann; Alexander Immer; Alex Bo-Yuan Chen; Peter H. Li; Mariela D. Petkova; Nirmala A. Iyer; Luuk Willem Hesselink; Aparna Dev; Gudrun Ihrke; Woohyun Park; Alyson Petruncio; Aubrey Weigel; et al. (ICLR, 2025)

Forecasting Whole-Brain Neuronal Activity from Volumetric Video. - Alexander Immer; Jan-Matthis Lueckmann; Alex Bo-Yuan Chen; Peter H. Li; Mariela D. Petkova; Nirmala A. Iyer; Aparna Dev; Gudrun Ihrke; Woohyun Park; Alyson Petruncio; Aubrey Weigel; Wyatt Korff; et al. (CoRR, 2025)

CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning. - Hao Cui; Zahra Shamsi; Gowoon Cheon; Xuejian Ma; Shutong Li; Maria Tikhanovskaya; Peter C. Norgaard; Nayantara Mudur; Martyna Plomecka; Paul Raccuglia; Yasaman Bahri; Victor V. Albert; et al. (CoRR, 2025)