Kumar Avinava Dubey
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
7
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs. | Krzysztof Marcin Choromanski, Isaac Reid, Arijit Sehanobish, Kumar Avinava Dubey |
| 2025 | AISTATS | Fundamental Limits of Perfect Concept Erasure. | Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi |
| 2025 | ICLR | Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. | Somnath Basu Roy Chowdhury, Krzysztof Marcin Choromanski, Arijit Sehanobish, Kumar Avinava Dubey, Snigdha Chaturvedi |
| 2025 | ICLR | Linear Transformer Topological Masking with Graph Random Features. | Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F. Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, Ren Wagner, Adrian Weller, Krzysztof Marcin Choromanski |
| 2025 | ICML | Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. | Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, Ren Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski |
| 2024 | AISTATS | Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. | Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tams Sarls, Thomas Weingarten, Adrian Weller |
| 2024 | ICLR | Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. | Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi |
| 2024 | ICLR | Scalable Neural Network Kernels. | Arijit Sehanobish, Krzysztof Marcin Choromanski, Yunfan Zhao, Kumar Avinava Dubey, Valerii Likhosherstov |
| 2023 | CoRL | RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. | Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han |
| 2023 | ICML | Efficient Graph Field Integrators Meet Point Clouds. | Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tams Sarls, Snigdha Chaturvedi, Adrian Weller |
| 2021 | AISTATS | DAG-Structured Clustering by Nearest Neighbors. | Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum |
| 2021 | KDD | Scalable Hierarchical Agglomerative Clustering. | Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gkhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu |
| 2020 | AISTATS | Distributed, partially collapsed MCMC for Bayesian Nonparametrics. | Kumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson |
| 2016 | ACL | Science Question Answering using Instructional Materials. | Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing |
| 2015 | ACL | Learning Answer-Entailing Structures for Machine Comprehension. | Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing, Matthew Richardson |
| 2014 | UAI | Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models. | Kumar Avinava Dubey, Sinead Williamson, Eric P. Xing |