Ritwik Gupta

According to our database, Ritwik Gupta authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies.

Ritwik Gupta, Leah Walker, Rodolfo Corona, Stephanie Fu, Suzanne Petryk, Janet Napolitano, Trevor Darrell, Andrew W. Reddie

CoRR, 2024

Visual Haystacks: Answering Harder Questions About Sets of Images.

Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David M. Chan

CoRR, 2024

Open-Source Assessments of AI Capabilities: The Proliferation of AI Analysis Tools, Replicating Competitor Models, and the Zhousidun Dataset.

Ritwik Gupta, Leah Walker, Eli Glickman, Raine Koizumi, Sarthak Bhatnagar, Andrew W. Reddie

CoRR, 2024

xT: Nested Tokenization for Larger Context in Large Images.

Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam

Proceedings of the Forty-first International Conference on Machine Learning, 2024

See, Say, and Segment: Teaching LMMs to Overcome False Premises.

Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Harnessing AI and robotics in humanitarian assistance and disaster response.

Thomas Manzini, Robin R. Murphy, Eric T. Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta

Sci. Robotics, July, 2023

Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings.

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

CoRR, 2023

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

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.

CoRR, 2023

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning.

Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding.

Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, Aniruddha Kembhavi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Emerging Technology and Policy Co-Design Considerations for the Safe and Transparent Use of Small Unmanned Aerial Systems.

Ritwik Gupta, Alexander M. Bayen, Sarah Rohrschneider, Adrienne Fulk, Andrew W. Reddie, Sanjit A. Seshia, Shankar Sastry, Janet Napolitano

CoRR, 2022

Satlas: A Large-Scale, Multi-Task Dataset for Remote Sensing Image Understanding.

Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, Aniruddha Kembhavi

CoRR, 2022

Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources.

Malachy Moran, Kayla Woputz, Derrick Hee, Manuela Girotto, Paolo D'Odorico, Ritwik Gupta, Daniel Feldman, Puya Vahabi, Alberto Todeschini, Colorado J. Reed

CoRR, 2022

xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery.

Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data.

Rupa Kurinchi-Vendhan, Björn Lütjens, Ritwik Gupta, Lucien Werner, Dava Newman

CoRR, 2021

2020

Proceedings of NeurIPS 2020 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response.

Ritwik Gupta, Eric T. Heim, Edoardo Nemni

CoRR, 2020

Proceedings of NeurIPS 2019 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response.

Ritwik Gupta, Eric T. Heim

CoRR, 2020

2019

xBD: A Dataset for Assessing Building Damage from Satellite Imagery.

Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric T. Heim, Howie Choset, Matthew E. Gaston

CoRR, 2019

Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery.

Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric T. Heim, Jigar Doshi, Keane Lucas, Howie Choset, Matthew E. Gaston

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Open Problems in Robotic Anomaly Detection.

Ritwik Gupta, Zachary T. Kurtz, Sebastian A. Scherer, Jonathon M. Smereka

CoRR, 2018

Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery.

Ritwik Gupta, Carson D. Sestili, Javier A. Vazquez-Trejo, Matthew E. Gaston

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018