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ORCIDRohith Kuditipudi
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2020 – today
- 2024
[j2]Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang:
Robust Distortion-free Watermarks for Language Models. Trans. Mach. Learn. Res. 2024 (2024)- [i8]Karan N. Chadha, John C. Duchi, Rohith Kuditipudi:
Resampling methods for Private Statistical Inference. CoRR abs/2402.07131 (2024) - 2023
- [c5]Rohith Kuditipudi, John C. Duchi, Saminul Haque:
A Pretty Fast Algorithm for Adaptive Private Mean Estimation. COLT 2023: 2511-2551 - [i7]John C. Duchi, Saminul Haque, Rohith Kuditipudi:
A Fast Algorithm for Adaptive Private Mean Estimation. CoRR abs/2301.07078 (2023) - [i6]Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang:
Robust Distortion-free Watermarks for Language Models. CoRR abs/2307.15593 (2023) - 2022
- [c4]Chen Cheng, John C. Duchi, Rohith Kuditipudi:
Memorize to generalize: on the necessity of interpolation in high dimensional linear regression. COLT 2022: 5528-5560 - [i5]Chen Cheng, John C. Duchi, Rohith Kuditipudi:
Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression. CoRR abs/2202.09889 (2022) - 2021
- [i4]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - 2020
- [j1]Ahmed H. Hareedy
, Rohith Kuditipudi, A. Robert Calderbank:
Minimizing the Number of Detrimental Objects in Multi-Dimensional Graph-Based Codes. IEEE Trans. Commun. 68(9): 5299-5312 (2020)
2010 – 2019
- 2019
- [c3]Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang:
Learning Two-layer Neural Networks with Symmetric Inputs. ICLR (Poster) 2019 - [c2]Ahmed H. Hareedy, Rohith Kuditipudi, A. Robert Calderbank:
Increasing the Lifetime of Flash Memories Using Multi-Dimensional Graph-Based Codes. ITW 2019: 1-5 - [c1]Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Rong Ge, Sanjeev Arora:
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. NeurIPS 2019: 14574-14583 - [i3]Ahmed H. Hareedy, Rohith Kuditipudi, A. Robert Calderbank:
Minimizing the Number of Detrimental Objects in Multi-Dimensional Graph-Based Codes. CoRR abs/1904.03844 (2019) - [i2]Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Sanjeev Arora, Rong Ge:
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. CoRR abs/1906.06247 (2019) - 2018
- [i1]Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang:
Learning Two-layer Neural Networks with Symmetric Inputs. CoRR abs/1810.06793 (2018)
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