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Publication search results
found 54 matches
- 2024
- Jyotismita Chaki
, Dibyajyoti Ghosh
:
Deep Learning in Leaf Disease Detection (2014-2024): A Visualization-Based Bibliometric Analysis. IEEE Access 12: 95291-95308 (2024) - Dibyanshu Jaiswal, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, Arpan Pal, Ratna Ghosh:
Differential Dermal Potential: A New Paradigm for Measuring Cognitive Load. EMBC 2024: 1-5 - Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar:
Robotic Offline RL from Internet Videos via Value-Function Learning. ICRA 2024: 16977-16984 - Prashant Patro, Dibyanshu Jaiswal, Shubhrangshu Ghosh, Ramesh K. Ramakrishnan, Arpan Pal:
A Signal Elevation Approach for Enhanced Detection of Onset and Offset of Muscle Activation Segments in Surface Electromyography. PerCom Workshops 2024: 135-140 - Dibya Ghosh, Homer Rich Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Quan Vuong, Ted Xiao, Pannag R. Sanketi, Dorsa Sadigh, Chelsea Finn, Sergey Levine:
Octo: An Open-Source Generalist Robot Policy. Robotics: Science and Systems 2024 - Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Pannag Sanketi, Quan Vuong, Ted Xiao, Dorsa Sadigh, Chelsea Finn, Sergey Levine:
Octo: An Open-Source Generalist Robot Policy. CoRR abs/2405.12213 (2024) - Katie Kang, Amrith Setlur, Dibya Ghosh, Jacob Steinhardt, Claire J. Tomlin, Sergey Levine, Aviral Kumar:
What Do Learning Dynamics Reveal About Generalization in LLM Reasoning? CoRR abs/2411.07681 (2024) - 2023
- Dibyajyoti Mallick, Priya Chakraborty, Sayantari Ghosh:
Visual Representation for Patterned Proliferation of Social Media Addiction: Quantitative Model and Network Analysis. SN Comput. Sci. 4(6): 712 (2023) - Dibya Ghosh, Chethan Anand Bhateja, Sergey Levine:
Reinforcement Learning from Passive Data via Latent Intentions. ICML 2023: 11321-11339 - Dibyanshu Jaiswal
, Debatri Chatterjee
, Arindam Sarkar
, Meghana S
, Ramesh Kumar Ramakrishnan
, Arpan Pal
, Ratna Ghosh
:
Assessment of Mental Workloads using Differential Dermal Potentials Recorded from in and around Ear. BodySys@MobiSys 2023: 1-6 - Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine:
Accelerating Exploration with Unlabeled Prior Data. NeurIPS 2023 - Seohong Park, Dibya Ghosh, Benjamin Eysenbach, Sergey Levine:
HIQL: Offline Goal-Conditioned RL with Latent States as Actions. NeurIPS 2023 - Sanandita Das
, Dibyarup Dutta
, Tanusree Ghosh
, Ruchira Naskar
:
Universal Detection and Source Attribution of Diffusion Model Generated Images with High Generalization and Robustness. PReMI 2023: 441-448 - Dibya Ghosh, Chethan Bhateja, Sergey Levine:
Reinforcement Learning from Passive Data via Latent Intentions. CoRR abs/2304.04782 (2023) - Seohong Park, Dibya Ghosh, Benjamin Eysenbach
, Sergey Levine:
HIQL: Offline Goal-Conditioned RL with Latent States as Actions. CoRR abs/2307.11949 (2023) - Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong
, Yevgen Chebotar, Sergey Levine, Aviral Kumar:
Robotic Offline RL from Internet Videos via Value-Function Pre-Training. CoRR abs/2309.13041 (2023) - Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine:
Accelerating Exploration with Unlabeled Prior Data. CoRR abs/2311.05067 (2023) - 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) - Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine:
Offline RL Policies Should Be Trained to be Adaptive. ICML 2022: 7513-7530 - Dibyayan Chakraborty
, Antoine Dailly, Sandip Das, Florent Foucaud, Harmender Gahlawat
, Subir Kumar Ghosh:
Complexity and Algorithms for ISOMETRIC PATH COVER on Chordal Graphs and Beyond. ISAAC 2022: 12:1-12:17 - Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal:
Distributionally Adaptive Meta Reinforcement Learning. NeurIPS 2022 - Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine:
Offline RL Policies Should be Trained to be Adaptive. CoRR abs/2207.02200 (2022) - Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal:
Distributionally Adaptive Meta Reinforcement Learning. CoRR abs/2210.03104 (2022) - 2021
- Dibya Ghosh, Abhishek Gupta, Ashwin Reddy, Justin Fu, Coline Manon Devin, Benjamin Eysenbach, Sergey Levine:
Learning to Reach Goals via Iterated Supervised Learning. ICLR 2021 - Aviral Kumar, Rishabh Agarwal, Dibya Ghosh, Sergey Levine:
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning. ICLR 2021 - Dibya Ghosh, Jad Rahme, Aviral Kumar, Amy Zhang, Ryan P. Adams, Sergey Levine:
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability. NeurIPS 2021: 25502-25515 - Dibya Ghosh, Jad Rahme, Aviral Kumar, Amy Zhang, Ryan P. Adams, Sergey Levine:
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability. CoRR abs/2107.06277 (2021) - 2020
- Dibyayan Chakraborty
, Florent Foucaud, Harmender Gahlawat
, Subir Kumar Ghosh, Bodhayan Roy:
Hardness and Approximation for the Geodetic Set Problem in Some Graph Classes. CALDAM 2020: 102-115 - Dibyadyuti Roy, Nirmala Menon, Maya Dodd, Arjun Ghosh, Mayurakshi Chaudhuri, Chiranjoy Chattopadhyay:
Towards an Indian Decolonial Digital Humanities. DH 2020 - Dibya Ghosh, Marc G. Bellemare:
Representations for Stable Off-Policy Reinforcement Learning. ICML 2020: 3556-3565
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