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ORCIDAbrar Rahman
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2020 – today
- 2024
[i6]Abrar Rahman, Garry Bowlin, Binit Mohanty, Sean McGunigal:
Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs). CoRR abs/2410.03568 (2024)- [i5]Indranil Sur, Aswin Raghavan, Abrar Rahman, James Z. Hare, Daniel N. Cassenti, Carl E. Busart:
Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning. CoRR abs/2411.05683 (2024) - 2023
- [j1]Megan M. Baker
, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [i4]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - 2022
- [c8]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c7]Andrew Kirillov, Abrar Rahman, Ayush Aggarwal:
Rental NFT Protocol With Advanced Rewards Splitting. IEEE Big Data 2022: 3201-3206 - [c6]Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - [i3]Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoRR abs/2208.05056 (2022) - [i2]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022) - 2021
- [c5]Fuad Rahman, Abrar Rahman, A. K. M. Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt:
Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network. IEEE BigData 2021: 4753-4760 - [c4]Fuad Rahman, Abrar Rahman, A. K. M. Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt:
Disease Modeling with a Forest Deep Neural Network Utilizing NLP and a Virtualized Clinical Semantic Network. ICTAI 2021: 935-942 - 2020
- [c3]Abrar Rahman, John Kriak, Rick Meyer, Sidney Goldblatt, Fuad Rahman:
A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN). IEEE BigData 2020: 3803-3810 - [i1]Aswin Raghavan, Jesse Hostetler, Indranil Sur, Abrar Rahman, Ajay Divakaran:
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. CoRR abs/2007.06918 (2020)
2010 – 2019
- 2019
- [c2]Abrar Rahman, Yonathan Weiner, Hailey Swanson, Rebecca Slepian, Anusheh Abdullah, Marvin J. Slepian:
A Big-Data Approach to Defining Breathing Signatures for Identifying Respiratory Disease. IEEE BigData 2019: 6195-6197 - [c1]Abrar Rahman, Ari Mitra, Fuad Rahman, Marvin J. Slepian:
Smart EHR - A Big-Data Approach to Automated Collection and Processing of Multi-Modal Health Signals in a Doctor-patient Encounter. IEEE BigData 2019: 6198-6200
Coauthor Index
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