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2020 – today
- 2024
[i6]Anand Ganesh, Babhrubahan Bose, Anand Rajagopalan:
On the Approximability of Stationary Processes using the ARMA Model. CoRR abs/2408.10610 (2024)- 2022
- [c8]Ashish Nayak, HsinChen Chen, Hugh Mair, Rolf Lagerquist, Tao Chen, Anand Rajagopalan, Gordon Gammie, Ramu Madhavaram, Madhur Jagota, C. J. Chung, Jenny Wiedemeier, Bala Meera, Chao-Yang Yeh, Maverick Lin, Curtis Lin, Vincent Lin, Jiun Lin, Y. S. Chen, Barry Chen, Cheng-Yuh Wu, Ryan ChangChien, Ray Tzeng, Kelvin Yang, Achuta Thippana, Ericbill Wang, Shih-Arn Hwang:
A 5nm 3.4GHz Tri-Gear ARMv9 CPU Subsystem in a Fully Integrated 5G Flagship Mobile SoC. ISSCC 2022: 50-52 - 2021
- [c7]Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar:
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. AISTATS 2021: 559-567 - [c6]Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia M. Procopiuc, Claudio Gentile:
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees. ICML 2021: 8799-8809 - [c5]HsinChen Chen, Rolf Lagerquist, Ashish Nayak, Hugh Mair, Gokulakrishnan Manoharan, Ericbill Wang, Gordon Gammie, Efron Ho, Anand Rajagopalan, Lee-Kee Yong, Ramu Madhavaram, Madhur Jagota, Chi-Jui Chung, Sudhakar Maruthi, Jenny Wiedemeier, Tao Chen, Henry Hsieh, Daniel Dia, Amjad Sikiligiri, Manzur Rahman, Barry Chen, Curtis Lin, Vincent Lin, Elly Chiang, Cheng-Yuh Wu, Po-Yang Hsu, Jason Tsai, Wade Wu, Achuta Thippana, S. A. Huang:
A 7nm 5G Mobile SoC Featuring a 3.0GHz Tri-Gear Application Processor Subsystem. ISSCC 2021: 54-56 - [c4]Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar:
Batch Active Learning at Scale. NeurIPS 2021: 11933-11944 - [i5]Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar:
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. CoRR abs/2101.10639 (2021) - [i4]Baris Sumengen, Anand Rajagopalan, Gui Citovsky, David Simcha, Olivier Bachem, Pradipta Mitra, Sam Blasiak, Mason Liang, Sanjiv Kumar:
Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets. CoRR abs/2105.11653 (2021) - [i3]Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar:
Batch Active Learning at Scale. CoRR abs/2107.14263 (2021)
2010 – 2019
- 2019
- [c3]Fabio Vitale, Anand Rajagopalan, Claudio Gentile:
Flattening a Hierarchical Clustering through Active Learning. NeurIPS 2019: 15263-15273 - [i2]Claudio Gentile, Fabio Vitale, Anand Rajagopalan:
Flattening a Hierarchical Clustering through Active Learning. CoRR abs/1906.09458 (2019) - [i1]Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao
, Sanjiv Kumar:
Online Hierarchical Clustering Approximations. CoRR abs/1909.09667 (2019) - 2016
- [c2]Hugh Mair, Gordon Gammie, Alice Wang, Rolf Lagerquist, C. J. Chung, Sumanth Gururajarao, Ping Kao, Anand Rajagopalan, Anirban Saha, Amit Jain, Ericbill Wang, Shichin Ouyang, Huajun Wen, Achuta Thippana, HsinChen Chen, Syed Rahman, Minh Chau, Anshul Varma, Brian Flachs, Mark Peng, Alfred Tsai, Vincent Lin, Ue Fu, Wuan Kuo, Lee-Kee Yong, Clavin Peng, Leo Shieh, Jengding Wu, Uming Ko:
4.3 A 20nm 2.5GHz ultra-low-power tri-cluster CPU subsystem with adaptive power allocation for optimal mobile SoC performance. ISSCC 2016: 76-77 - 2015
- [c1]Hugh Mair, Gordon Gammie, Alice Wang, Sumanth Gururajarao, Ichiro Lin, HsinChen Chen, Wuan Kuo, Anand Rajagopalan, Wei-Zheng Ge, Rolf Lagerquist, Syed Rahman, C. J. Chung, Simon Wang, Lee-Kee Wong, Yi-Chang Zhuang, Kent Li, Jidong Wang, Minh Chau, Yijing Liu, Daniel Dia, Mark Peng, Uming Ko:
23.3 A highly integrated smartphone SoC featuring a 2.5GHz octa-core CPU with advanced high-performance and low-power techniques. ISSCC 2015: 1-3
Coauthor Index
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