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2020 – today
- 2024
[c8]Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell:
See, Say, and Segment: Teaching LMMs to Overcome False Premises. CVPR 2024: 13459-13469- [c7]Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam:
xT: Nested Tokenization for Larger Context in Large Images. ICML 2024 - [i18]Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam:
xT: Nested Tokenization for Larger Context in Large Images. CoRR abs/2403.01915 (2024) - [i17]Ritwik Gupta, Leah Walker, Eli Glickman, Raine Koizumi, Sarthak Bhatnagar, Andrew W. Reddie:
Open-Source Assessments of AI Capabilities: The Proliferation of AI Analysis Tools, Replicating Competitor Models, and the Zhousidun Dataset. CoRR abs/2405.12167 (2024) - [i16]Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David M. Chan:
Visual Haystacks: Answering Harder Questions About Sets of Images. CoRR abs/2407.13766 (2024) - [i15]Ritwik Gupta, Leah Walker, Rodolfo Corona, Stephanie Fu, Suzanne Petryk, Janet Napolitano, Trevor Darrell, Andrew W. Reddie:
Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies. CoRR abs/2409.17216 (2024) - 2023
- [j1]Thomas Manzini, Robin R. Murphy
, Eric T. Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta:
Harnessing AI and robotics in humanitarian assistance and disaster response. Sci. Robotics 8(80) (2023) - [c6]Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. ICCV 2023: 4065-4076 - [c5]Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, Aniruddha Kembhavi:
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding. ICCV 2023: 16726-16736 - [c4]Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard:
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. NeurIPS 2023 - [i14]Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.:
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. CoRR abs/2306.08754 (2023) - [i13]Sarah Shoker, Andrew W. Reddie, Sarah Barrington, Ruby Booth, Miles Brundage, Husanjot Chahal, Michael Depp, Bill Drexel, Ritwik Gupta, Marina Favaro, Jake Hecla, Alan Hickey, Margarita Konaev, Kirthi Kumar, Nathan Lambert, Andrew Lohn, Cullen O'Keefe, Nazneen Rajani, Michael Sellitto, Robert Trager, Leah Walker, Alexa Wehsener, Jessica Young:
Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings. CoRR abs/2308.00862 (2023) - [i12]Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell:
See, Say, and Segment: Teaching LMMs to Overcome False Premises. CoRR abs/2312.08366 (2023) - 2022
- [c3]Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon:
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. NeurIPS 2022 - [i11]Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon:
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. CoRR abs/2206.00897 (2022) - [i10]Malachy Moran, Kayla Woputz, Derrick Hee, Manuela Girotto, Paolo D'Odorico, Ritwik Gupta, Daniel Feldman, Puya Vahabi, Alberto Todeschini, Colorado J. Reed:
Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources. CoRR abs/2208.04246 (2022) - [i9]Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, Aniruddha Kembhavi:
Satlas: A Large-Scale, Multi-Task Dataset for Remote Sensing Image Understanding. CoRR abs/2211.15660 (2022) - [i8]Ritwik Gupta, Alexander M. Bayen, Sarah Rohrschneider, Adrienne Fulk, Andrew W. Reddie, Sanjit A. Seshia, Shankar Sastry, Janet Napolitano:
Emerging Technology and Policy Co-Design Considerations for the Safe and Transparent Use of Small Unmanned Aerial Systems. CoRR abs/2212.02795 (2022) - [i7]Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. CoRR abs/2212.14532 (2022) - 2021
- [i6]Rupa Kurinchi-Vendhan, Björn Lütjens, Ritwik Gupta, Lucien Werner, Dava Newman:
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data. CoRR abs/2109.08770 (2021) - 2020
- [i5]Ritwik Gupta, Eric T. Heim:
Proceedings of NeurIPS 2019 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response. CoRR abs/2012.01022 (2020) - [i4]Ritwik Gupta, Eric T. Heim, Edoardo Nemni:
Proceedings of NeurIPS 2020 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response. CoRR abs/2012.02108 (2020)
2010 – 2019
- 2019
- [c2]Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric T. Heim, Jigar Doshi, Keane Lucas, Howie Choset, Matthew E. Gaston:
Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery. CVPR Workshops 2019: 10-17 - [i3]Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric T. Heim, Howie Choset, Matthew E. Gaston:
xBD: A Dataset for Assessing Building Damage from Satellite Imagery. CoRR abs/1911.09296 (2019) - 2018
- [c1]Ritwik Gupta, Carson D. Sestili, Javier A. Vazquez-Trejo, Matthew E. Gaston:
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery. IEEE BigData 2018: 1931-1936 - [i2]Ritwik Gupta, Zachary T. Kurtz, Sebastian A. Scherer, Jonathon M. Smereka:
Open Problems in Robotic Anomaly Detection. CoRR abs/1809.03565 (2018) - [i1]Ritwik Gupta, Carson D. Sestili, Javier A. Vazquez-Trejo, Matthew E. Gaston:
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery. CoRR abs/1811.04893 (2018)
Coauthor Index
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