The Genome Sequence DataBase version 1.0 (GSDB): from low pass sequences to complete genomes. - Carol Harger; Marian Skupski; Ethan Allen; Christopher Clark; David Crowley; Emily Dickinson; David Easley; Ada Espinosa-Lujan; Andrew D. Farmer; Chris A. Fields; Leandrita Flores; Lynn Harris; et al. (Nucleic Acids Res., 1997)

The Genome Sequence DataBase (GSDB): improving data quality and data access. - Carol Harger; M. P. Skupski; J. Bingham; Andrew D. Farmer; S. Hoisie; Peter T. Hraber; Donald Kiphart; L. Krakowski; Mia McLeod; Jolene Schwertfeger; G. A. Seluja; Adam C. Siepel; et al. (Nucleic Acids Res., 1998)

Refining educational content through a closed-loop FLOW approach. - David Poe; Christine Hansen; Kellie McGowan; Gautam Singh (ACM SIGCSE Bull., 2008)

Component-Based Approach for Educating Students in Bioinformatics. - David Poe; Nirmala Venkatraman; Christine Hansen; Gautam Singh (IEEE Trans. Educ., 2009)

Language Models for Semantic Extraction and Filtering in Video Action Recognition. - Evelyne Tzoukermann; Jan Neumann; Jana Kosecka; Cornelia Fermüller; Ian Perera; Frank Ferraro; Benjamin Sapp; Rizwan Chaudhry; Gautam Singh (Language-Action Tools for Cognitive Artificial Agents, 2011)

Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues. - Benjamin Sapp; Rizwan Chaudhry; Xiaodong Yu; Gautam Singh; Ian Perera; Francis Ferraro; Evelyne Tzoukermann; Jana Kosecka; Jan Neumann (ICCV Workshops, 2011)

Acquiring semantics induced topology in urban environments. - Gautam Singh; Jana Kosecka (ICRA, 2012)

Semantic parsing of street scenes from video. - Branislav Micusík; Jana Kosecká; Gautam Singh (Int. J. Robotics Res., 2012)

Application of Bayesian Classifier for the Diagnosis of Dental Pain. - Subhagata Chattopadhyay; Rima M. Davis; Daphne D. Menezes; Gautam Singh; U. Rajendra Acharya; Toshiyo Tamura (J. Medical Syst., 2012)

RPF: a quality assessment tool for protein NMR structures. - Yuanpeng Janet Huang; Antonio Rosato; Gautam Singh; Gaetano T. Montelione (Nucleic Acids Res., 2012)

Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context. - Gautam Singh; Jana Kosecka (CVPR, 2013)

Localization in Urban Environments Using a Panoramic Gist Descriptor. - Ana Cristina Murillo; Gautam Singh; Jana Kosecká; José Jesús Guerrero (IEEE Trans. Robotics, 2013)

Introspective semantic segmentation. - Gautam Singh; Jana Kosecka (WACV, 2014)

A subtractive clustering scheme for text-independent online writer identification. - Gautam Singh; Suresh Sundaram 001 (ICDAR, 2015)

Visual Scene Understanding through Semantic Segmentation. - Gautam Singh (2015)

Cross-Lingual Predicate Mapping Between Linked Data Ontologies. - Gautam Singh; Saemi Jang; Mun Yong Yi (CoRR, 2016)

Semantically Guided Geo-location and Modeling in Urban Environments. - Gautam Singh; Jana Kosecká (Large-Scale Visual Geo-Localization, 2016)

Neev: A cognitive support agent for content improvement in hardware tickets. - Nishtha Madaan; Gautam Singh; Arun Kumar 002; Gargi Banerjee Dasgupta (IM, 2017)

A Change Tracking Framework for Financial Documents. - Nishtha Madaan; Gautam Singh; Srikanta Bedathur; Arun Kumar 002 (SCC, 2018)

Semantic Parsing for Technical Support Questions. - Abhirut Gupta; Anupama Ray; Gargi Dasgupta; Gautam Singh; Pooja Aggarwal; Prateeti Mohapatra (COLING, 2018)

Fast Nearest-Neighbor Classification Using RNN in Domains with Large Number of Classes. - Gautam Singh; Gargi Dasgupta; Yu Deng 004 (ICSOC Workshops, 2018)

Generating Clues for Gender based Occupation De-biasing in Text. - Nishtha Madaan; Gautam Singh; Sameep Mehta; Aditya Chetan; Brihi Joshi (CoRR, 2018)

Mining Procedures from Technical Support Documents. - Abhirut Gupta; Abhay Khosla; Gautam Singh; Gargi Dasgupta (CoRR, 2018)

Sequential Neural Processes. - Gautam Singh; Jaesik Yoon; Youngsung Son; Sungjin Ahn (NeurIPS, 2019)

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. - Zhixuan Lin; Yi-Fu Wu; Skand Vishwanath Peri; Weihao Sun; Gautam Singh; Fei Deng 001; Jindong Jiang; Sungjin Ahn (ICLR, 2020)

Robustifying Sequential Neural Processes. - Jaesik Yoon; Gautam Singh; Sungjin Ahn (ICML, 2020)

Fair Transfer of Multiple Style Attributes in Text. - Karan Dabas; Nishtha Madaan; Vijay Arya; Sameep Mehta; Gautam Singh; Tanmoy Chakraborty 002 (CoRR, 2020)

Study of the NIPG method for two-parameter singular perturbation problems on several layer adapted grids. - Gautam Singh; Srinivasan Natesan (J. Appl. Math. Comput., 2020)

Structured World Belief for Reinforcement Learning in POMDP. - Gautam Singh; Skand Vishwanath Peri; Junghyun Kim 007; Hyunseok Kim; Sungjin Ahn (ICML, 2021)

A unified study on superconvergence analysis of Galerkin FEM for singularly perturbed systems of multiscale nature. - Maneesh Kumar Singh 003; Gautam Singh; Srinivasan Natesan (J. Appl. Math. Comput., 2021)

Illiterate DALL-E Learns to Compose. - Gautam Singh; Fei Deng 001; Sungjin Ahn (ICLR, 2022)

Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos. - Gautam Singh; Yi-Fu Wu; Sungjin Ahn (NeurIPS, 2022)

Neural Block-Slot Representations. - Gautam Singh; Yeongbin Kim; Sungjin Ahn (CoRR, 2022)

Superconvergence error estimates of discontinuous Galerkin time stepping for singularly perturbed parabolic problems. - Gautam Singh; Srinivasan Natesan (Numer. Algorithms, 2022)

Neural Systematic Binder. - Gautam Singh; Yeongbin Kim; Sungjin Ahn (ICLR, 2023)

Object-Centric Slot Diffusion. - Jindong Jiang; Fei Deng 001; Gautam Singh; Sungjin Ahn (NeurIPS, 2023)

Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. - Yeongbin Kim; Gautam Singh; Junyeong Park; Çaglar Gülçehre; Sungjin Ahn (NeurIPS, 2023)

Superconvergence error analysis of discontinuous Galerkin method with interior penalties for 2D elliptic convection - diffusion - reaction problems. - Gautam Singh; Srinivasan Natesan; Ali Sendur (Int. J. Comput. Math., 2023)

Parallelized Spatiotemporal Slot Binding for Videos. - Gautam Singh; Yue Wang 041; Jiawei Yang 002; Boris Ivanovic; Sungjin Ahn; Marco Pavone 001; Tong Che (ICML, 2024)

Slot State Space Models. - Jindong Jiang; Fei Deng 001; Gautam Singh; Minseung Lee; Sungjin Ahn (NeurIPS, 2024)

Parallelized Spatiotemporal Binding. - Gautam Singh; Yue Wang 041; Jiawei Yang 002; Boris Ivanovic; Sungjin Ahn; Marco Pavone 001; Tong Che (CoRR, 2024)

Dreamweaver: Learning Compositional World Models from Pixels. - Junyeob Baek; Yi-Fu Wu; Gautam Singh; Sungjin Ahn (ICLR, 2025)

Dreamweaver: Learning Compositional World Representations from Pixels. - Junyeob Baek; Yi-Fu Wu; Gautam Singh; Sungjin Ahn (CoRR, 2025)

Analysis of two-parameter singular perturbation problems via the DDG method on Shishkin mesh. - Amit Yadav; Gautam Singh (J. Appl. Math. Comput., 2025)