Avinava Dubey - RankMe

56 papers A* 9A 6Journal 36Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Inference-time Unlearning Using Conformal Prediction. CoRR Somnath Basu Roy Chowdhury, Rahul Kidambi, Avinava Dubey, David Wang, Gökhan Mergen, Amr Ahmed, Aranyak Mehta
2026	J	`jnl`	SWING: Unlocking Implicit Graph Representations for Graph Random Features. CoRR Alessandro Manenti, Avinava Dubey, Arijit Sehanobish, Cesare Alippi, Krzysztof Choromanski
2025	J	`jnl`	Computationally-efficient Graph Modeling with Refined Graph Random Features. CoRR Krzysztof Choromanski, Avinava Dubey, Arijit Sehanobish, Isaac Reid
2025	J	`jnl`	Fundamental Limits of Perfect Concept Erasure. CoRR Somnath Basu Roy Chowdhury, Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi
2025	J	`jnl`	Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. CoRR Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Choromanski
2024	A*	`conf`	Auctions with LLM Summaries. KDD Avinava Dubey, Zhe Feng, Rahul Kidambi, Aranyak Mehta, Di Wang
2024	—	`conf`	Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. EMNLP (Findings) Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent
2024	J	`jnl`	Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning. CoRR Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent
2024	A	`conf`	Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. IROS Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani
2024	J	`jnl`	Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. CoRR Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani
2024	J	`jnl`	Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers. CoRR Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Avinava Dubey, Tamás Sarlós, Snigdha Chaturvedi
2024	J	`jnl`	Incremental Extractive Opinion Summarization Using Cover Trees. CoRR Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
2024	J	`jnl`	Magnituder Layers for Implicit Neural Representations in 3D. CoRR Sang Min Kim, Byeongchan Kim, Arijit Sehanobish, Krzysztof Choromanski, Dongseok Shim, Avinava Dubey, Min-hwan Oh
2024	J	`jnl`	Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs. CoRR Krzysztof Choromanski, Isaac Reid, Arijit Sehanobish, Avinava Dubey
2024	A*	`conf`	SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. ICRA Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao
2024	J	`jnl`	Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning. CoRR Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi
2024	J	`jnl`	Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. CoRR Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish, Avinava Dubey, Snigdha Chaturvedi
2023	J	`jnl`	Efficient Graph Field Integrators Meet Point Clouds. CoRR Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller
2023	J	`jnl`	Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. CoRR Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023	J	`jnl`	FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features. CoRR Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller
2023	J	`jnl`	Mnemosyne: Learning to Train Transformers with Transformers. CoRR Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan, Avinava Dubey
2023	J	`jnl`	RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong T. Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2023	J	`jnl`	Robust Concept Erasure via Kernelized Rate-Distortion Maximization. CoRR Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023	J	`jnl`	SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. CoRR Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao
2023	J	`jnl`	Scalable Neural Network Kernels. CoRR Arijit Sehanobish, Krzysztof Choromanski, Yunfan Zhao, Avinava Dubey, Valerii Likhosherstov
2023	—	`conf`	Unsupervised Opinion Summarization Using Approximate Geodesics. EMNLP (Findings) Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2022	J	`jnl`	A Fourier Approach to Mixture Learning. CoRR Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Avinava Dubey, Manzil Zaheer
2022	J	`jnl`	Automated Deep Aberration Detection from Chromosome Karyotype Images. CoRR Zahra Shamsi, Drew Bryant, Jacob Wilson, Xiaoyu Qu, Avinava Dubey, Konik Kothari, Mostafa Dehghani, Mariya Chavarha, Valerii Likhosherstov, Brian Williams, Michael Frumkin, Fred Appelbaum, Krzysztof Choromanski, Ali Bashir, Min Fang
2022	J	`jnl`	Chefs' Random Tables: Non-Trigonometric Random Features. CoRR Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller
2022	J	`jnl`	Unsupervised Opinion Summarization Using Approximate Geodesics. CoRR Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2021	J	`jnl`	Exact and Approximate Hierarchical Clustering Using A. CoRR Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021	A	`conf`	Exact and approximate hierarchical clustering using A. UAI Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021	J	`jnl`	On Learning the Transformer Kernel. CoRR Sankalan Pal Chowdhury, Adamos Solomou, Avinava Dubey, Mrinmaya Sachan
2020	J	`jnl`	Big Bird: Transformers for Longer Sequences. CoRR Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
2020	J	`jnl`	Contextual Explanation Networks. J. Mach. Learn. Res. Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
2020	J	`jnl`	Distributed, partially collapsed MCMC for Bayesian Nonparametrics. CoRR Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson
2020	J	`jnl`	Scalable Bottom-Up Hierarchical Clustering. CoRR Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
2019	J	`jnl`	Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. Comput. Linguistics Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing
2018	J	`jnl`	Personalized Survival Prediction with Contextual Explanation Networks. CoRR Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
2018	J	`jnl`	The Intriguing Properties of Model Explanations. CoRR Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
2018	A*	`conf`	Transformation Autoregressive Networks. ICML Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider
2017	J	`jnl`	Contextual Explanation Networks. CoRR Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
2017	A*	`conf`	From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems. EMNLP Mrinmaya Sachan, Avinava Dubey, Eric P. Xing
2016	A	`conf`	Bayesian Nonparametric Kernel-Learning. AISTATS Junier B. Oliva, Avinava Dubey, Andrew Gordon Wilson, Barnabás Póczos, Jeff G. Schneider, Eric P. Xing
2016	A*	`conf`	Estimating Accuracy from Unlabeled Data: A Bayesian Approach. ICML Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell
2016	J	`jnl`	Science Question Answering using Instructional Materials. CoRR Mrinmaya Sachan, Avinava Dubey, Eric P. Xing
2015	A*	`conf`	Large-scale Distributed Dependent Nonparametric Trees. ICML Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing
2015	A	`conf`	Large-scale randomized-coordinate descent methods with non-separable linear constraints. UAI Sashank J. Reddi, Ahmed Hefny, Carlton Downey, Avinava Dubey, Suvrit Sra
2014	A	`conf`	Spatial compactness meets topical consistency: jointly modeling links and content for community detection. WSDM Mrinmaya Sachan, Avinava Dubey, Shashank Srivastava, Eric P. Xing, Eduard H. Hovy
2013	A	`conf`	A Nonparametric Mixture Model for Topic Modeling over Time. SDM Avinava Dubey, Ahmed Hefny, Sinead Williamson, Eric P. Xing
2013	—	`conf`	Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models. ICML (1) Sinead Williamson, Avinava Dubey, Eric P. Xing
2012	—	`conf`	AUSUM: approach for unsupervised bug report summarization. SIGSOFT FSE Senthil Mani, Rose Catherine, Vibha Singhal Sinha, Avinava Dubey
2011	A*	`conf`	Diversity in ranking via resistive graph centers. KDD Avinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya
2011	A*	`conf`	Learning Dirichlet Processes from Partially Observed Groups. ICDM Avinava Dubey, Indrajit Bhattacharya, Mrinal Kanti Das, Tanveer A. Faruquie, Chiranjib Bhattacharyya
2010	—	`conf`	A Cluster-Level Semi-supervision Model for Interactive Clustering. ECML/PKDD (1) Avinava Dubey, Indrajit Bhattacharya, Shantanu Godbole
2009	A*	`conf`	Conditional Models for Non-smooth Ranking Loss Functions. ICDM Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti