Anand Rajagopalan

16 papers A* 3A 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Schauder Bases for $C[0, 1]$ Using ReLU, Softplus and Two Sigmoidal Functions.
Trans. Mach. Learn. Res.
Anand Ganesh, Babhrubahan Bose, Anand Rajagopalan
2025 J jnl
Schauder Bases for C[0, 1] Using ReLU, Softplus and Two Sigmoidal Functions.
CoRR
Anand Ganesh, Babhrubahan Bose, Anand Rajagopalan
2024 J jnl
On the Approximability of Stationary Processes using the ARMA Model.
CoRR
Anand Ganesh, Babhrubahan Bose, Anand Rajagopalan
2022 — conf
A 5nm 3.4GHz Tri-Gear ARMv9 CPU Subsystem in a Fully Integrated 5G Flagship Mobile SoC.
ISSCC
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
2021 — conf
A 7nm 5G Mobile SoC Featuring a 3.0GHz Tri-Gear Application Processor Subsystem.
ISSCC
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
2021 A* conf
Batch Active Learning at Scale.
NeurIPS
Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar
2021 J jnl
Batch Active Learning at Scale.
CoRR
Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar
2021 A* conf
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees.
ICML
Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia M. Procopiuc, Claudio Gentile
2021 A conf
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering.
AISTATS
Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar
2021 J jnl
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering.
CoRR
Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar
2021 J jnl
Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets.
CoRR
Baris Sumengen, Anand Rajagopalan, Gui Citovsky, David Simcha, Olivier Bachem, Pradipta Mitra, Sam Blasiak, Mason Liang, Sanjiv Kumar
2019 A* conf
Flattening a Hierarchical Clustering through Active Learning.
NeurIPS
Fabio Vitale, Anand Rajagopalan, Claudio Gentile
2019 J jnl
Flattening a Hierarchical Clustering through Active Learning.
CoRR
Claudio Gentile, Fabio Vitale, Anand Rajagopalan
2019 J jnl
Online Hierarchical Clustering Approximations.
CoRR
Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao, Sanjiv Kumar
2016 — conf
4.3 A 20nm 2.5GHz ultra-low-power tri-cluster CPU subsystem with adaptive power allocation for optimal mobile SoC performance.
ISSCC
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
2015 — conf
23.3 A highly integrated smartphone SoC featuring a 2.5GHz octa-core CPU with advanced high-performance and low-power techniques.
ISSCC
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