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- Krishna Narra
aka: Krishna Giri Narra, H. V. Krishna Giri Narra, Hema Venkata Krishna Giri Narra
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Publication search results
found 26 matches
- 2024
- Jethro C. C. Kwong, Jeremy Wu, Shamir Malik, Adree Khondker, Naveen Gupta, Nicole Bodnariuc, Krishnateja Narayana, Mikail Malik, Theodorus H. van der Kwast, Alistair E. W. Johnson, Alexandre R. Zlotta, Girish S. Kulkarni:
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI. npj Digit. Medicine 7(1) (2024) - Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang:
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features. CoRR abs/2401.15246 (2024) - 2023
- Carson Denison, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang:
Private Ad Modeling with DP-SGD. AdKDD@KDD 2023 - Shilajeet Banerjee, Sairaj Desai, Krishna Madan Yelamarty, Harivignesh A, M. L. Narayana, K. Giridhar:
On Provisioning Link Margin for High Bit Rate Q/V Band LEO Communication for Autonomous Vehicles. VTC Fall 2023: 1-7 - 2022
- Prateek Singh, Rajat Ujjainiya, Satyartha Prakash, Salwa Naushin, Viren Sardana, Nitin Bhatheja, Ajay Pratap Singh, Joydeb Barman, Kartik Kumar, Saurabh Gayali, Raju Khan, Birendra Singh Rawat, Karthik Bharadwaj Tallapaka, Mahesh Anumalla, Amit Lahiri, Susanta Kar, Vivek Bhosale, Mrigank Srivastava, Madhav Nilakanth Mugale, C. P. Pandey, Shaziya Khan, Shivani Katiyar, Desh Raj, Sharmeen Ishteyaque, Sonu Khanka, Ankita Rani, Promila, Jyotsna Sharma, Anuradha Seth, Mukul Dutta, Nishant Saurabh, Murugan Veerapandian, Ganesh Venkatachalam, Deepak Bansal, Dinesh Gupta, Prakash M. Halami, Muthukumar Serva Peddha, Ravindra P. Veeranna, Anirban Pal, Ranvijay Kumar Singh, Suresh Kumar Anandasadagopan, Parimala Karuppanan, Syed Nasar Rahman, Gopika Selvakumar, Venkatesan Subramanian, Malay Kumar Karmakar, Harish Kumar Sardana, Anamika Kothari, Devendra Singh Parihar, Anupma Thakur, Anas Saifi, Naman Gupta, Yogita Singh, Ritu Reddu, Rizul Gautam, Anuj Mishra, Avinash Mishra, Iranna Gogeri, Geethavani Rayasam, Yogendra Padwad, Vikram Patial, Vipin Hallan, Damanpreet Singh, Narendra Tirpude, Partha Chakrabarti, Sujay Krishna Maity, Dipyaman Ganguly, Ramakrishna Sistla, Narender Kumar Balthu, Kiran Kumar A, Siva Ranjith, B. Vijay Kumar, Piyush Singh Jamwal, Anshu Wali, Sajad Ahmed, Rekha Chouhan, Sumit G. Gandhi, Nancy Sharma, Garima Rai, Faisal Irshad, Vijay Lakshmi Jamwal, Masroor Ahmad Paddar, Sameer Ullah Khan, Fayaz Malik, Debashish Ghosh, Ghanshyam Thakkar, Saroj Kanta Barik, Prabhanshu Tripathi, Yatendra Kumar Satija, Sneha Mohanty, Md. Tauseef Khan, Umakanta Subudhi, Pradip Sen, Rashmi Kumar, Anshu Bhardwaj, Pawan Gupta, Deepak Sharma, Amit Tuli, Saumya Ray chaudhuri, Srinivasan Krishnamurthi, L. Prakash, Ch V. Rao, B. N. Singh, Arvindkumar Chaurasiya, Meera Chaurasiyar, Mayuri Bhadange, Bhagyashree Likhitkar, Sharada Mohite, Yogita Patil, Mahesh Kulkarni, Rakesh Joshi, Vaibhav Pandya, Sachin Mahajan, Amita Patil, Rachel Samson, Tejas Vare, Mahesh Dharne, Ashok Giri, Shilpa Paranjape, G. Narahari Sastry, Jatin Kalita, Tridip Phukan, Prasenjit Manna, Wahengbam Romi, Pankaj Bharali, Dibyajyoti Ozah, Ravi Kumar Sahu, Prachurjya Dutta, Moirangthem Goutam Singh, Gayatri Gogoi, Yasmin Begam Tapadar, Elapavalooru VSSK. Babu, Rajeev K. Sukumaran, Aishwarya R. Nair, Anoop Puthiyamadam, Prajeesh Kooloth Valappil, Adrash Velayudhan Pillai Prasannakumari, Kalpana Chodankar, Samir Damare, Ved Varun Agrawal, Kumardeep Chaudhary, Anurag Agrawal, Shantanu Sengupta, Debasis Dash:
A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys. Comput. Biol. Medicine 146: 105419 (2022) - Carson Denison, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang:
Private Ad Modeling with DP-SGD. CoRR abs/2211.11896 (2022) - 2021
- Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram:
Origami Inference: Private Inference Using Hardware Enclaves. CLOUD 2021: 78-84 - 2020
- Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. ICDCS 2020: 453-463 - Umut Isik, Ritwik Giri, Neerad Phansalkar, Jean-Marc Valin, Karim Helwani, Arvindh Krishnaswamy:
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss. INTERSPEECH 2020: 2487-2491 - Jean-Marc Valin, Umut Isik, Neerad Phansalkar, Ritwik Giri, Karim Helwani, Arvindh Krishnaswamy:
A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech. INTERSPEECH 2020: 2482-2486 - Naveen Kumar Uppalapati, Benjamin Walt, Aaron J. Havens, Armeen Mahdian, Girish Chowdhary, Girish Krishnan:
A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control. Robotics: Science and Systems 2020 - Umut Isik, Ritwik Giri, Neerad Phansalkar, Jean-Marc Valin, Karim Helwani, Arvindh Krishnaswamy:
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss. CoRR abs/2008.04470 (2020) - 2019
- Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Slack squeeze coded computing for adaptive straggler mitigation. SC 2019: 14:1-14:16 - Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Distributed Matrix Multiplication Using Speed Adaptive Coding. CoRR abs/1904.07098 (2019) - Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. CoRR abs/1904.12222 (2019) - Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. CoRR abs/1906.03999 (2019) - Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram:
Train Where the Data is: A Case for Bandwidth Efficient Coded Training. CoRR abs/1910.10283 (2019) - Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram:
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments. CoRR abs/1912.03485 (2019) - 2018
- Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS 2018: 5129-5139 - Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR abs/1811.03617 (2018) - 2017
- Janki Bhimani, Jingpei Yang, Zhengyu Yang, Ningfang Mi, N. H. V. Krishna Giri, Rajinikanth Pandurangan, Changho Choi, Vijay Balakrishnan:
Enhancing SSDs with multi-stream: What? why? how? IPCCC 2017: 1-2 - Gunjae Koo, Kiran Kumar Matam, Te I, H. V. Krishna Giri Narra, Jing Li, Hung-Wei Tseng, Steven Swanson, Murali Annavaram:
Summarizer: trading communication with computing near storage. MICRO 2017: 219-231 - 2015
- Partha Sarathi Roy, Mukunda Dev Behera, M. S. R. Murthy, Arijit Roy, Sarnam Singh, S. P. S. Kushwaha, Chandra Shekhar Jha, Singuluri Sudhakar, Pawan K. Joshi, Chintala Sudhakar Reddy, Stutee Gupta, Girish Pujar, C. B. S. Dutt, Vijay K. Srivastava, M. C. Porwal, Poonam Tripathi, Jamuna S. Singh, Vishwas Chitale, Andrew K. Skidmore, G. Rajshekhar, Deepak Kushwaha, Harish Chandra Karnatak, Sameer Saran, Giriraj Amarnath, Hitendra Padalia, Manish P. Kale, Subrato Nandy, Jeganathan Chockalingam, Chandra Prakash Singh, C. M. Biradar, Chiranjibi Pattanaik, D. K. Singh, G. M. Devagiri, Gautam Talukdar, Rabindra K. Panigrahy, Harnam Singh, J. R. Sharma, K. Haridasan, Shivam Trived, K. P. Singh, Lavanya Kannan, M. Daniel, M. K. Misra, Madhura Niphadkar, Nidhi Nagabhatla, Nupoor Prasad, O. P. Tripathi, P. Rama Chandra Prasad, Pushpa Dash, Qamer Qureshi, S. K. Tripathi, B. R. Ramesh, Balakrishnan Gowda, Sanjay Tomar, Shakil Ahmad Romshoo, Shilpa Giriraj, Shirish A. Ravan, Soumit Kumar Behera, Subrato Paul, Ashesh Kumar Das, B. K. Ranganath, T. P. Singh, T. R. Sahu, Uma Shankar, A. R. R. Menon, Gaurav Srivastava, Neeti, Subrat Sharma, U. B. Mohapatra, Ashok Peddi, Humayun Rashid, Irfan Salroo, P. Hari Krishna, P. K. Hajra, A. O. Vergheese, Shafique Matin, Swapnil A. Chaudhary, Sonali Ghosh, Udaya Lakshmi, Deepshikha Rawat, Kalpana Ambastha, Akhtar H. Malik, B. S. S. Devi, Balakrishna Gowda, K. C. Sharma, Prashant Mukharjee, Ajay Sharma, Priya Davidar, R. R. Venkata Raju, S. S. Katewa, Shashi Kant, Vatsavaya S. Raju, B. P. Uniyal, Bijan Debnath, D. K. Rout, Rajesh Thapa, Shijo Joseph, Pradeep Chhetri, Reshma M. Ramachandran:
New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities. Int. J. Appl. Earth Obs. Geoinformation 39: 142-159 (2015) - L. Srivani, N. H. V. Krishna Giri, Shankar Ganesh, V. Kamakoti:
Generating synthetic benchmark circuits for accelerated life testing of field programmable gate arrays using genetic algorithm and particle swarm optimization. Appl. Soft Comput. 27: 179-190 (2015) - 2013
- Rong Zhang, Li Wang, Gerard Parr, Osianoh Glenn Aliu, Benga Awoseyila, Nader Azarmi, Saleem Bhatti, Eliane L. Bodanese, Hong Chen, Mehrdad Dianati, Amit Kumar Dutta, Michael Fitch, Krishnamurthy Giridhar, Steve Hailes, K. V. S. Hari, Muhammad Ali Imran, Aditya K. Jagannatham, Abhay Karandikar, Santosh Kawade, Mohammed Zafar Ali Khan, Sayee C. Kompalli, Patrick Langdon, Babu Narayanan, Andreas Mauthe, Joseph McGeehan, Neelesh B. Mehta, J. Klutto Milleth, Klaus Moessner, Rakshith Rajashekar, Barathram Ramkumar, Vinay J. Ribeiro, Kasturi Vasudevan, Lajos Hanzo, John Bigham:
Advances in base- and mobile-station aided cooperative wireless communications: An overview. IEEE Veh. Technol. Mag. 8(1): 57-69 (2013) - 2012
- Arun B. Ayyar, Hari Ram Balakrishnan, Andrew Thangaraj, Vinoth Nagarajan, K. Giridhar:
Block Modulation for Interference Management in Heterogeneous Wireless Networks. IEEE J. Sel. Top. Signal Process. 6(3): 241-256 (2012)
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