Zobrazeno 1 - 10
of 595
pro vyhledávání: '"Katdare AN"'
Policy gradient methods are a vital ingredient behind the success of modern reinforcement learning. Modern policy gradient methods, although successful, introduce a residual error in gradient estimation. In this work, we argue that this residual term
Externí odkaz:
http://arxiv.org/abs/2403.01605
Reinforcement Learning (RL) methods are typically sample-inefficient, making it challenging to train and deploy RL-policies in real world robots. Even a robust policy trained in simulation requires a real-world deployment to assess their performance.
Externí odkaz:
http://arxiv.org/abs/2309.01807
Autor:
Basu, Sourya, Katdare, Pulkit, Sattigeri, Prasanna, Chenthamarakshan, Vijil, Driggs-Campbell, Katherine, Das, Payel, Varshney, Lav R.
Publikováno v:
NeurIPS 2023
Efficient transfer learning algorithms are key to the success of foundation models on diverse downstream tasks even with limited data. Recent works of Basu et al. (2023) and Kaba et al. (2022) propose group averaging (equitune) and optimization-based
Externí odkaz:
http://arxiv.org/abs/2305.09900
Autor:
Surya Prasad Sharma, Mirza Ghazanfarullah Ghazi, Suyash Katdare, Ruchi Badola, Syed Ainul Hussain
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract For rewilding the depleted crocodylian populations in India, a targeted ‘one-species one area’ based conservation approach was adopted in the early-1970s. Suitable habitats were identified and designated as protected areas, specifically
Externí odkaz:
https://doaj.org/article/40fdcc12d10e45c29f55c3cf86fe9f29
Autor:
Darapaneni, Narayana, Kherde, Vaibhav, Rao, Kameswara, Nikam, Deepali, Katdare, Swanand, Shukla, Anima, Lomate, Anagha, Paduri, Anwesh Reddy
The new alternative is to use deep learning to inpaint any image by utilizing image classification and computer vision techniques. In general, image inpainting is a task of recreating or reconstructing any broken image which could be a photograph or
Externí odkaz:
http://arxiv.org/abs/2204.02591
Applying reinforcement learning (RL) methods on robots typically involves training a policy in simulation and deploying it on a robot in the real world. Because of the model mismatch between the real world and the simulator, RL agents deployed in thi
Externí odkaz:
http://arxiv.org/abs/2112.11532
Autor:
Aparna N. Katdare, Akshay D. Baheti, Sayali Y. Pangarkar, Kunal A. Mistry, Suman K. Ankathi, Purvi D. Haria, Amit J. Choudhari, Amrita Guha, Kunal Gala, Nitin Shetty, Suyash Kulkarni, Mukta Ramadwar, Munita Bal
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 34, Iss 01, Pp 69-75 (2024)
Purpose: Magnetic resonance imaging (MRI) with the help of MRI-based tumor regression grade (mrTRG) score has been used as a tool to predict pathological tumor regression grade (pTRG) in patients of rectal cancer post-neoadjuvant chemoradiation. Our
Externí odkaz:
https://doaj.org/article/4c1ff4779f904a779285c745d8cf15c3
Autor:
Palak Bhavesh Thakkar Popat, Aashna Karbhari, Nitin Shetty, Kunal Gala, Purvi Haria, Aparna Katdare, Sonal Chauhan, Vani Parmar, Nita Nair, Shalaka Joshi, Sangeeta Desai, Tanuja Shet, Asawari Patil, Ayushi Sahay, Meenakshi Thakur, Rajendra Badwe, Suyash Kulkarni
Publikováno v:
Journal of Clinical Interventional Radiology ISVIR, Vol 07, Iss 03, Pp 172-178 (2023)
Purpose To evaluate the safety and efficacy of vacuum-assisted breast biopsy (VABB) under ultrasound and stereotactic guidance.
Externí odkaz:
https://doaj.org/article/bfee364122044376ac6ef825b651b309
Autor:
Yajuan Shi, Ketaki A. Katdare, Hyosung Kim, Jonah C. Rosch, Emma H. Neal, Sidney Vafaie-Partin, Joshua A. Bauer, Ethan S. Lippmann
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Glucose, a primary fuel source under homeostatic conditions, is transported into cells by membrane transporters such as glucose transporter 1 (GLUT1). Due to its essential role in maintaining energy homeostasis, dysregulation of GLUT1 expres
Externí odkaz:
https://doaj.org/article/ce1039e563874f36976d04d69d91cc82
Autor:
Wilber Romero-Fernandez, Cristian Carvajal-Tapia, Alex Prusky, Ketaki A. Katdare, Emmeline Wang, Alena Shostak, Lissa Ventura-Antunes, Hannah J. Harmsen, Ethan S. Lippmann, Kjell Fuxe, Jason A. MacGurn, Dasiel O. Borroto-Escuela, Matthew S. Schrag
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Examination of healthy and diseased human brain is essential to translational neuroscience. Protein–protein interactions play a pivotal role in physiological and pathological processes, but their detection is difficult, especially in aged
Externí odkaz:
https://doaj.org/article/cc2f7c6bf0fe42c693ee46964e301557