Zobrazeno 1 - 10
of 3 325
pro vyhledávání: '"Rajeswaran A"'
Autor:
Wu, Philipp, Hakhamaneshi, Kourosh, Du, Yuqing, Mordatch, Igor, Rajeswaran, Aravind, Abbeel, Pieter
Publikováno v:
Reinforcement Learning Journal 1 (2024)
One-shot Imitation Learning~(OSIL) aims to imbue AI agents with the ability to learn a new task from a single demonstration. To supervise the learning, OSIL typically requires a prohibitively large number of paired expert demonstrations -- i.e. traje
Externí odkaz:
http://arxiv.org/abs/2408.05285
Hierarchical control for robotics has long been plagued by the need to have a well defined interface layer to communicate between high-level task planners and low-level policies. With the advent of LLMs, language has been emerging as a prospective in
Externí odkaz:
http://arxiv.org/abs/2405.04798
Manual identification and classification of pneumonia and COVID-19 infection is a cumbersome process that, if delayed can cause irreversible damage to the patient. We have compiled CT scan images from various sources, namely, from the China Consortiu
Externí odkaz:
http://arxiv.org/abs/2404.12405
Autor:
Kumar, Vikash, Shah, Rutav, Zhou, Gaoyue, Moens, Vincent, Caggiano, Vittorio, Vakil, Jay, Gupta, Abhishek, Rajeswaran, Aravind
We present RoboHive, a comprehensive software platform and ecosystem for research in the field of Robot Learning and Embodied Artificial Intelligence. Our platform encompasses a diverse range of pre-existing and novel environments, including dexterou
Externí odkaz:
http://arxiv.org/abs/2310.06828
Autor:
Silwal, Sneha, Yadav, Karmesh, Wu, Tingfan, Vakil, Jay, Majumdar, Arjun, Arnaud, Sergio, Chen, Claire, Berges, Vincent-Pierre, Batra, Dhruv, Rajeswaran, Aravind, Kalakrishnan, Mrinal, Meier, Franziska, Maksymets, Oleksandr
We present a large empirical investigation on the use of pre-trained visual representations (PVRs) for training downstream policies that execute real-world tasks. Our study involves five different PVRs, each trained for five distinct manipulation or
Externí odkaz:
http://arxiv.org/abs/2310.02219
Autor:
Patnala S. R. Chandra Murty, Chinta Anuradha, P. Appala Naidu, Deenababu Mandru, Maram Ashok, Athiraja Atheeswaran, Nagalingam Rajeswaran, V. Saravanan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-41 (2024)
Abstract The objective of this investigation was to improve the diagnosis of breast cancer by combining two significant datasets: the Wisconsin Breast Cancer Database and the DDSM Curated Breast Imaging Subset (CBIS-DDSM). The Wisconsin Breast Cancer
Externí odkaz:
https://doaj.org/article/d3a38df0983f4dc690bce17c14208bf4
Autor:
Ajay Asranna, Asheeb Abdulhak, Lakshminarayanapuram Gopal Viswanathan, Ravindranandh Chowdary Mundlamuri, Raghavendra Kenchaiah, Mariyappa Narayanan, Bhargava Gautham, Velumurugan Jayabal, Rose Dawn Bharath, Jitender Saini, Chandana Nagaraj, Sandhya Mangalore, Karthik Kulanthaivelu, Nishanth Sadashiva, A Mahadevan, Jamuna Rajeswaran, Arivazhagan Arimappamagan, Bhaskara Rao Malla, Sanjib Sinha
Publikováno v:
Annals of Indian Academy of Neurology, Vol 27, Iss 5, Pp 500-505 (2024)
Background and Objectives: Magnetoencephalography (MEG) could be a valuable tool in the presurgical evaluation of drug-resistant epilepsy (DRE), especially when the initial evaluation is inconclusive. In this retrospective study, we describe the prof
Externí odkaz:
https://doaj.org/article/60f6771fb7d54dfba99a9b96f36f7a0d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Diffusion-weighted imaging (DWI) is a technique used to probe the random microscopic motion of water protons in living tissue, represented by a parameter measurement of apparent diffusion coefficient (ADC) values. This study aimed to measure
Externí odkaz:
https://doaj.org/article/4d98110221774c3bb6e8fdac30075b75
Autor:
Nicholas R. Kurtansky, Brian M. D’Alessandro, Maura C. Gillis, Brigid Betz-Stablein, Sara E. Cerminara, Rafael Garcia, Marcela Alves Girundi, Elisabeth Victoria Goessinger, Philippe Gottfrois, Pascale Guitera, Allan C. Halpern, Valerie Jakrot, Harald Kittler, Kivanc Kose, Konstantinos Liopyris, Josep Malvehy, Victoria J. Mar, Linda K. Martin, Thomas Mathew, Lara Valeska Maul, Adam Mothershaw, Alina M. Mueller, Christoph Mueller, Alexander A. Navarini, Tarlia Rajeswaran, Vin Rajeswaran, Anup Saha, Maithili Sashindranath, Laura Serra-García, H. Peter Soyer, Georgios Theocharis, Ayesha Vos, Jochen Weber, Veronica Rotemberg
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection bias, lack of standardization, and
Externí odkaz:
https://doaj.org/article/5622b491e13d4ffc9f4616a4f3f518b9
Robotic systems that aspire to operate in uninstrumented real-world environments must perceive the world directly via onboard sensing. Vision-based learning systems aim to eliminate the need for environment instrumentation by building an implicit und
Externí odkaz:
http://arxiv.org/abs/2309.14236