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Daniel Shin
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2020 – today
- 2023
- [j1]Daniel Shin, Anca D. Dragan, Daniel S. Brown:
Benchmarks and Algorithms for Offline Preference-Based Reward Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Jay Patel, Daniel Shin, Lisa Willis, Ahad Zai, Thankam Thyvalikakath:
Feasibility of Utilizing Electronic Dental Record Data and Periodontitis Case Definition to Automate Diagnosis. MedInfo 2023: 214-218 - [i3]Daniel Shin, Anca D. Dragan, Daniel S. Brown:
Benchmarks and Algorithms for Offline Preference-Based Reward Learning. CoRR abs/2301.01392 (2023) - 2022
- [c3]Nitish Dashora, Daniel Shin, Dhruv Shah, Henry A. Leopold, David D. Fan, Ali-Akbar Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine:
Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments. ICRA 2022: 4452-4458 - 2021
- [i2]Daniel Shin, Daniel S. Brown:
Offline Preference-Based Apprenticeship Learning. CoRR abs/2107.09251 (2021) - [i1]Nitish Dashora, Daniel Shin, Dhruv Shah, Henry A. Leopold, David D. Fan, Ali-Akbar Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine:
Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments. CoRR abs/2111.10948 (2021) - 2020
- [c2]Jason McZara, Subash Kafle, Daniel Shin:
Modeling and Analysis of Dependencies between Microservices in DevSecOps. SmartCloud 2020: 140-147
2010 – 2019
- 2016
- [c1]Tomoharu Tanaka, Mark Helm, Tommaso Vali, Ramin Ghodsi, Koichi Kawai, Jae-Kwan Park, Shigekazu Yamada, Feng Pan, Yuichi Einaga, Ali Ghalam, Toru Tanzawa, Jason Guo, Takaaki Ichikawa, Erwin Yu, Satoru Tamada, Tetsuji Manabe, Jiro Kishimoto, Yoko Oikawa, Yasuhiro Takashima, Hidehiko Kuge, Midori Morooka, Ali Mohammadzadeh, Jong Kang, Jeff Tsai, Emanuele Sirizotti, Eric Lee, Luyen Vu, Yuxing Liu, Hoon Choi, Kwonsu Cheon, Daesik Song, Daniel Shin, Jung Hee Yun, Michele Piccardi, Kim-Fung Chan, Yogesh Luthra, Dheeraj Srinivasan, Srinivasarao Deshmukh, Kalyan Kavalipurapu, Dan Nguyen, Girolamo Gallo, Sumant Ramprasad, Michelle Luo, Qiang Tang, Michele Incarnati, Agostino Macerola, Luigi Pilolli, Luca De Santis, Massimo Rossini, Violante Moschiano, Giovanni Santin, Bernardino Tronca, Hyunseok Lee, Vipul Patel, Ted Pekny, Aaron Yip, Naveen Prabhu, Purval Sule, Trupti Bemalkhedkar, Kiranmayee Upadhyayula, Camila Jaramillo:
7.7 A 768Gb 3b/cell 3D-floating-gate NAND flash memory. ISSCC 2016: 142-144
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