Justin Tan

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 4

Top Topics

Inference Process

Curvature Estimation

Top Venues

BMC Syst. Biol.

J. Digit. Imaging

Publications

Siddhartha, Justin Tan, Rajesh Bansal, Huang Chee Cheun, Yuta Tokusashi, Chong Yew Kwan, Haris Javaid, Mario Baldi
Demo: Enabling DNN Inference in the Network Data Plane. EuroP4@CoNEXT (2023)
Per Berglund, Giorgi Butbaia, Tristan Hübsch, Vishnu Jejjala, Damián Mayorga Peña, Challenger Mishra, Justin Tan
Machine Learned Calabi-Yau Metrics and Curvature. CoRR (2022)
David Tan, Justin Tan
Far from the Tree? Do Private Entrepreneurs Agglomerate Around Public Sector Incumbents During Economic Transition? Organ. Sci. 28 (1) (2017)
Bin Du, Daniel C. Zielinski, Erol S. Kavvas, Andreas Dräger, Justin Tan, Zhen Zhang, Kayla E. Ruggiero, Garri A. Arzumanyan, Bernhard O. Palsson
Evaluation of rate law approximations in bottom-up kinetic models of metabolism. BMC Syst. Biol. 10 (2016)
Cherng Chao, Justin Tan, Edward M. Castillo, Mazen Zawaideh, Anne C. Roberts, Thomas B. Kinney
Comparative Efficacy of New Interfaces for Intra-procedural Imaging Review: the Microsoft Kinect, Hillcrest Labs Loop Pointer, and the Apple iPad. J. Digit. Imaging 27 (4) (2014)