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Publication search results
found 66 matches
- 2023
- Asser M. Abou Elkassem, Rafah Mresh, Ahmed Farag, Steven Rothenberg, Seth T. Lirette, Andrew D. Smith, Tejaswini Kulkarni:
Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis - a Pilot Study. J. Digit. Imaging 36(6): 2382-2391 (2023) - Sourabh Debnath, Ramesh Kumar Mohapatra, Tejas Shirish Kulkarni:
Bit Plane Segmentation and LBP-Based Coverless Video Steganography for Secure Data Transmission. CVIP (1) 2023: 256-268 - Antti Koskela, Tejas D. Kulkarni:
Practical Differentially Private Hyperparameter Tuning with Subsampling. NeurIPS 2023 - Antti Koskela, Tejas Kulkarni:
Practical Differentially Private Hyperparameter Tuning with Subsampling. CoRR abs/2301.11989 (2023) - 2022
- R. Karthik, Tejas Sunil Vaichole, Sanika Kiran Kulkarni, Ojaswa Yadav, Faiz Khan:
Eff2Net: An efficient channel attention-based convolutional neural network for skin disease classification. Biomed. Signal Process. Control. 73: 103406 (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) - Tejaswini Apte, Priti Kulkarni:
Network Communication Encoding: A Study for Authentication Protocols. SN Comput. Sci. 3(2): 152 (2022) - Atharva Karwande, Pranesh Kulkarni, Tejas Kolhe, Akshay Joshi, Soham Kamble:
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network. CoRR abs/2202.12337 (2022) - 2021
- Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. IEEE Trans. Knowl. Data Eng. 33(2): 415-430 (2021) - Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela:
Differentially Private Bayesian Inference for Generalized Linear Models. ICML 2021: 5838-5849 - Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller:
Representation Matters: Improving Perception and Exploration for Robotics. ICRA 2021: 6512-6519 - Tejas Bana, Jatan Loya, Siddhant Kulkarni:
ViT - Inception - GAN for Image Colourisation. LOD 2021: 105-118 - Pranesh Kulkarni, Medha Wyawahare, Atharva Karwande, Tejas Kolhe, Soham Kamble, Akshay Joshi:
Agricultural Field Analysis Using Satellite Hyperspectral Data and Autoencoder. RTIP2R 2021: 363-375 - Tejas Bana, Jatan Loya, Siddhant Kulkarni:
ViT-Inception-GAN for Image Colourising. CoRR abs/2106.06321 (2021) - Pranesh Kulkarni, Atharva Karwande, Tejas Kolhe, Soham Kamble, Akshay Joshi, Medha Wyawahare:
Plant Disease Detection Using Image Processing and Machine Learning. CoRR abs/2106.10698 (2021) - Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela:
Locally Differentially Private Bayesian Inference. CoRR abs/2110.14426 (2021) - 2020
- James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni:
Private Protocols for U-Statistics in the Local Model and Beyond. AISTATS 2020: 1573-1583 - Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan:
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. CoRR abs/2004.08614 (2020) - Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela:
Differentially Private Bayesian Inference for Generalized Linear Models. CoRR abs/2011.00467 (2020) - Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller:
Representation Matters: Improving Perception and Exploration for Robotics. CoRR abs/2011.01758 (2020) - 2019
- Tejas Kulkarni:
Efficient estimation of statistical functions while preserving client-side privacy. University of Warwick, Coventry, UK, 2019 - Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Answering Range Queries Under Local Differential Privacy. Proc. VLDB Endow. 12(10): 1126-1138 (2019) - David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih:
Unsupervised Control Through Non-Parametric Discriminative Rewards. ICLR (Poster) 2019 - Zhangyu Guan, Tejas Kulkarni:
On the Effects of Mobility Uncertainties on Wireless Communications between Flying Drones in the mmWave/THz Bands. INFOCOM Workshops 2019: 768-773 - Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih:
Unsupervised Learning of Object Keypoints for Perception and Control. NeurIPS 2019: 10723-10733 - Tejas Kulkarni:
Answering Range Queries Under Local Differential Privacy. SIGMOD Conference 2019: 1832-1834 - Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih:
Unsupervised Learning of Object Keypoints for Perception and Control. CoRR abs/1906.11883 (2019) - John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami:
Unsupervised Doodling and Painting with Improved SPIRAL. CoRR abs/1910.01007 (2019) - James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni:
Private Protocols for U-Statistics in the Local Model and Beyond. CoRR abs/1910.03861 (2019) - 2018
- Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. ICDE 2018: 845-856
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