Gautam Singh

ORCID

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 32

Top Venues

CoRR

NeurIPS

ICLR

J. Appl. Math. Comput.

George Mason University, Fairfax, Virginia, USA (PHD)

Education History

George Mason University, Fairfax, Virginia, USA

PHD

Publications

Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
Object-Centric Slot Diffusion. CoRR (2023)
Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. CoRR (2023)
Gautam Singh, Srinivasan Natesan, Ali Sendur
Superconvergence error analysis of discontinuous Galerkin method with interior penalties for 2D elliptic convection - diffusion - reaction problems. Int. J. Comput. Math. 100 (5) (2023)
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
Object-Centric Slot Diffusion. NeurIPS (2023)
Gautam Singh, Yeongbin Kim, Sungjin Ahn
Neural Systematic Binder. ICLR (2023)
Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. NeurIPS (2023)
Gautam Singh, Yi-Fu Wu, Sungjin Ahn
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos. CoRR (2022)
Gautam Singh, Fei Deng, Sungjin Ahn
Illiterate DALL-E Learns to Compose. ICLR (2022)
Gautam Singh, Yeongbin Kim, Sungjin Ahn
Neural Block-Slot Representations. CoRR (2022)
Gautam Singh, Yi-Fu Wu, Sungjin Ahn
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos. NeurIPS (2022)
Gautam Singh, Srinivasan Natesan
Superconvergence error estimates of discontinuous Galerkin time stepping for singularly perturbed parabolic problems. Numer. Algorithms 90 (3) (2022)
Maneesh Kumar Singh, Gautam Singh, Srinivasan Natesan
A unified study on superconvergence analysis of Galerkin FEM for singularly perturbed systems of multiscale nature. J. Appl. Math. Comput. 66 (1-2) (2021)
Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn
Structured World Belief for Reinforcement Learning in POMDP. ICML (2021)
Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn
Structured World Belief for Reinforcement Learning in POMDP. CoRR (2021)
Gautam Singh, Fei Deng, Sungjin Ahn
Illiterate DALL-E Learns to Compose. CoRR (2021)
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. CoRR (2020)
Karan Dabas, Nishtha Madaan, Vijay Arya, Sameep Mehta, Gautam Singh, Tanmoy Chakraborty
Fair Transfer of Multiple Style Attributes in Text. CoRR (2020)
Jaesik Yoon, Gautam Singh, Sungjin Ahn
Robustifying Sequential Neural Processes. CoRR (2020)
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. ICLR (2020)
Jaesik Yoon, Gautam Singh, Sungjin Ahn
Robustifying Sequential Neural Processes. ICML (2020)
Gautam Singh, Srinivasan Natesan
Study of the NIPG method for two-parameter singular perturbation problems on several layer adapted grids. J. Appl. Math. Comput. 63 (1-2) (2020)
Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn
Sequential Neural Processes. NeurIPS (2019)
Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn
Sequential Neural Processes. CoRR (2019)
Nishtha Madaan, Gautam Singh, Sameep Mehta, Aditya Chetan, Brihi Joshi
Generating Clues for Gender based Occupation De-biasing in Text. CoRR (2018)
Nishtha Madaan, Gautam Singh, Srikanta Bedathur, Arun Kumar
A Change Tracking Framework for Financial Documents. SCC (2018)
Abhirut Gupta, Anupama Ray, Gargi Dasgupta, Gautam Singh, Pooja Aggarwal, Prateeti Mohapatra
Semantic Parsing for Technical Support Questions. COLING (2018)
Abhirut Gupta, Abhay Khosla, Gautam Singh, Gargi Dasgupta
Mining Procedures from Technical Support Documents. CoRR (2018)
Gautam Singh, Gargi Dasgupta, Yu Deng
Fast Nearest-Neighbor Classification Using RNN in Domains with Large Number of Classes. ICSOC Workshops (2018)
Nishtha Madaan, Gautam Singh, Arun Kumar, Gargi Banerjee Dasgupta
Neev: A cognitive support agent for content improvement in hardware tickets. IM (2017)
Gautam Singh, Gargi Dasgupta, Yu Deng
Fast Nearest-Neighbor Classification using RNN in Domains with Large Number of Classes. CoRR (2017)
Gautam Singh, Saemi Jang, Mun Yong Yi
Cross-Lingual Predicate Mapping Between Linked Data Ontologies. CoRR (2016)
Gautam Singh, Suresh Sundaram
A subtractive clustering scheme for text-independent online writer identification. ICDAR (2015)
Gautam Singh, Jana Kosecka
Introspective semantic segmentation. WACV (2014)
Ana Cristina Murillo, Gautam Singh, Jana Kosecká, José Jesús Guerrero
Localization in Urban Environments Using a Panoramic Gist Descriptor. IEEE Trans. Robotics 29 (1) (2013)
Gautam Singh, Jana Kosecka
Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context. CVPR (2013)
Subhagata Chattopadhyay, Rima M. Davis, Daphne D. Menezes, Gautam Singh, U. Rajendra Acharya, Toshiyo Tamura
Application of Bayesian Classifier for the Diagnosis of Dental Pain. J. Medical Syst. 36 (3) (2012)
Gautam Singh, Jana Kosecka
Acquiring semantics induced topology in urban environments. ICRA (2012)
Yuanpeng Janet Huang, Antonio Rosato, Gautam Singh, Gaetano T. Montelione
RPF: a quality assessment tool for protein NMR structures. Nucleic Acids Res. 40 (Web-Server-Issue) (2012)
Branislav Micusík, Jana Kosecká, Gautam Singh
Semantic parsing of street scenes from video. Int. J. Robotics Res. 31 (4) (2012)
Benjamin Sapp, Rizwan Chaudhry, Xiaodong Yu, Gautam Singh, Ian Perera, Francis Ferraro, Evelyne Tzoukermann, Jana Kosecka, Jan Neumann
Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues. ICCV Workshops (2011)
Evelyne Tzoukermann, Jan Neumann, Jana Kosecka, Cornelia Fermüller, Ian Perera, Frank Ferraro, Benjamin Sapp, Rizwan Chaudhry, Gautam Singh
Language Models for Semantic Extraction and Filtering in Video Action Recognition. Language-Action Tools for Cognitive Artificial Agents (2011)
David Poe, Nirmala Venkatraman, Christine Hansen, Gautam Singh
Component-Based Approach for Educating Students in Bioinformatics. IEEE Trans. Educ. 52 (1) (2009)
David Poe, Christine Hansen, Kellie McGowan, Gautam Singh
Refining educational content through a closed-loop FLOW approach. ACM SIGCSE Bull. 40 (2) (2008)
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, Gautam Singh, David Stamper, Peter A. Steadman, Nina Thayer, R. Thompson, P. Wargo, Mark E. Waugh, J. J. Zhuang, Peter A. Schad
The Genome Sequence DataBase (GSDB): improving data quality and data access. Nucleic Acids Res. 26 (1) (1998)
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, Gifford Keen, Maurice Manning, Michael P. McLeod, John O'Neill, Maria Pumilia, Rhonda Reinert, David Rider, John Rohrlich, Yolanda Romero, Jolene Schwertfeger, Gustavo Seluja, Adam C. Siepel, Gautam Singh, Linda Smyth, David Stamper, Judy Stein, Randy Suggs, Rajini Takkallapalli, Nina Thayer, Gary Thompson, Colleen Walsh, Frederick Wedgeworth III, Peter A. Schad
The Genome Sequence DataBase version 1.0 (GSDB): from low pass sequences to complete genomes. Nucleic Acids Res. 25 (1) (1997)

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Publication Activity (10 Years)

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Gautam Singh