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Publication search results
found 328 matches
- 2024
- Muhammad Abubakr Naeem, Fiza Qureshi, Saqib Farid, Aviral Kumar Tiwari, Mohamed Elheddad:
Time-frequency information transmission among financial markets: evidence from implied volatility. Ann. Oper. Res. 334(1): 701-729 (2024) - Sudhi Sharma, Aviral Kumar Tiwari, Samia Nasreen:
Are FinTech, Robotics, and Blockchain index funds providing diversification opportunities with emerging markets?Lessons from pre and postoutbreak of COVID-19. Electron. Commer. Res. 24(1): 341-370 (2024) - Aviral Shrivastava:
Editorial. IEEE Embed. Syst. Lett. 16(2): 81 (2024) - Aviral Shrivastava, Mohammad Khayatian, Bob Iannucci:
Design Methodology for Robust, Distributed Time-Sensitive Applications. IEEE Internet Things Mag. 7(1): 104-110 (2024) - Benjamin R. Willis, Aviral Shrivastava, Joshua Mack, Shail Dave, Chaitali Chakrabarti, John S. Brunhaver:
Cyclebite: Extracting Task Graphs From Unstructured Compute-Programs. IEEE Trans. Computers 73(1): 221-234 (2024) - Moslem Didehban, Hwisoo So, Prudhvi Gali, Aviral Shrivastava, Kyoungwoo Lee:
Generic Soft Error Data and Control Flow Error Detection by Instruction Duplication. IEEE Trans. Dependable Secur. Comput. 21(1): 78-92 (2024) - Sanggu Park, Edward Andert, Aviral Shrivastava:
Blame-Free Motion Planning in Hybrid Traffic. IEEE Trans. Intell. Veh. 9(1): 259-268 (2024) - William Chen, Oier Mees, Aviral Kumar, Sergey Levine:
Vision-Language Models Provide Promptable Representations for Reinforcement Learning. CoRR abs/2402.02651 (2024) - Yifei Zhou, Andrea Zanette, Jiayi Pan, Sergey Levine, Aviral Kumar:
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL. CoRR abs/2402.19446 (2024) - Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taïga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal:
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL. CoRR abs/2403.03950 (2024) - Katie Kang, Eric Wallace, Claire J. Tomlin, Aviral Kumar, Sergey Levine:
Unfamiliar Finetuning Examples Control How Language Models Hallucinate. CoRR abs/2403.05612 (2024) - Aviral Agrawal, Carlos Mateo Samudio Lezcano, Iqui Balam Heredia-Marin, Prabhdeep Singh Sethi:
Listen Then See: Video Alignment with Speaker Attention. CoRR abs/2404.13530 (2024) - Fahim Tajwar, Anikait Singh, Archit Sharma, Rafael Rafailov, Jeff Schneider, Tengyang Xie, Stefano Ermon, Chelsea Finn, Aviral Kumar:
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data. CoRR abs/2404.14367 (2024) - Aviral Prakash, Yongjie Jessica Zhang:
Data-driven identification of stable differential operators using constrained regression. CoRR abs/2405.00198 (2024) - Phong Tran, Egor Zakharov, Long-Nhat Ho, Liwen Hu, Adilbek Karmanov, Aviral Agarwal, McLean Goldwhite, Ariana Bermudez Venegas, Anh Tuan Tran, Hao Li:
VOODOO XP: Expressive One-Shot Head Reenactment for VR Telepresence. CoRR abs/2405.16204 (2024) - 2023
- Aviral Shrivastava, Xiaobo Sharon Hu:
Report on the 2022 Embedded Systems Week (ESWEEK). IEEE Des. Test 40(1): 108-111 (2023) - Mohammadreza Mehrabian, Mohammad Khayatian, Aviral Shrivastava, Patricia Derler, Hugo A. Andrade:
A run-time verification method with consideration of uncertainties for cyber-physical systems. Microprocess. Microsystems 101: 104890 (2023) - Aviral Shrivastava, Jian-Jia Chen, Akash Kumar, Anup Das:
ACM TECS Special Issue on Embedded System Security Tutorials. ACM Trans. Embed. Comput. Syst. 22(3): 41:1-41:2 (2023) - Matthew Szeto, Edward Andert, Aviral Shrivastava, Martin Reisslein, Chung-Wei Lin, Christ D. Richmond:
B-AWARE: Blockage Aware RSU Scheduling for 5G Enabled Autonomous Vehicles. ACM Trans. Embed. Comput. Syst. 22(5s): 154:1-154:23 (2023) - Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur:
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language. AAAI 2023: 15767-15773 - Hanoz Bhathena, Aviral Joshi, Prateek Singh:
An efficient method for Natural Language Querying on Structured Data. ACL (industry) 2023: 322-331 - Saket Sharma, Aviral Joshi, Yiyun Zhao, Namrata Mukhija, Hanoz Bhathena, Prateek Singh, Sashank Santhanam:
When and how to paraphrase for named entity recognition? ACL (1) 2023: 7052-7087 - Shail Dave, Tony Nowatzki, Aviral Shrivastava:
Explainable-DSE: An Agile and Explainable Exploration of Efficient HW/SW Codesigns of Deep Learning Accelerators Using Bottleneck Analysis. ASPLOS (4) 2023: 87-107 - Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Anand Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine:
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. CoRL 2023: 3909-3928 - Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine:
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. CoRL 2023: 1348-1361 - Behnaz Ranjbar, Florian Klemme, Paul R. Genssler, Hussam Amrouch, Jinhyo Jung, Shail Dave, Hwisoo So, Kyongwoo Lee, Aviral Shrivastava, Ji-Yung Lin, Pieter Weckx, Subrat Mishra, Francky Catthoor, Dwaipayan Biswas, Akash Kumar:
Learning-Oriented Reliability Improvement of Computing Systems From Transistor to Application Level. DATE 2023: 1-10 - Aviral Chawla, Nick Cheney:
Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization. GECCO Companion 2023: 187-190 - Felicia Guo, Nayiri Krzysztofowicz, Alex Moreno, Jeffrey Ni, Daniel Lovell, Yufeng Chi, Kareem Ahmad, Sherwin Afshar, Josh Alexander, Dylan Brater, Cheng Cao, Daniel Fan, Ryan Lund, Jackson Paddock, Griffin Prechter, Troy Sheldon, Shreesha Sreedhara, Anson Tsai, Eric Wu, Kerry Yu, Daniel Fritchman, Aviral Pandey, Ali Niknejad, Kristofer S. J. Pister, Borivoje Nikolic:
A Heterogeneous SoC for Bluetooth LE in 28nm. HCS 2023: 1-11 - Aviral Srivastava, Priyansh Sanghavi, Viral Parmar:
Unveiling the Veil of Deception: An Insightful Journey into Adversarial Attacks and Defence Mechanisms in Deep Learning Networks. IC3I 2023: 1104-1111 - Aviral Srivastava, Usha Jain:
Securing the Future of IoT: A Comprehensive Framework for Real-Time Attack Detection and Mitigation in IoT Networks. ICCCNT 2023: 1-6
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