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ORCIDKarthik Mohan
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Journal Articles
- 2018
[j4]Sumitha George
, Xueqing Li, Minli Julie Liao, Kaisheng Ma, Srivatsa Rangachar Srinivasa, Karthik Mohan, Ahmedullah Aziz, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan:
Symmetric 2-D-Memory Access to Multidimensional Data. IEEE Trans. Very Large Scale Integr. Syst. 26(6): 1040-1050 (2018)- 2014
- [j3]Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee:
Node-based learning of multiple Gaussian graphical models. J. Mach. Learn. Res. 15(1): 445-488 (2014) - [j2]Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela M. Witten:
Learning graphical models with hubs. J. Mach. Learn. Res. 15(1): 3297-3331 (2014) - 2012
- [j1]Karthik Mohan, Maryam Fazel:
Iterative reweighted algorithms for matrix rank minimization. J. Mach. Learn. Res. 13: 3441-3473 (2012)
Conference and Workshop Papers
- 2024
- [c9]Karthik Mohan, Suraj Kumar Pandey:
A Deep-Learning Based Real-Time License Plate Recognition System for Resource-Constrained Scenarios. ICPR (20) 2024: 226-242 - 2020
- [c8]Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White:
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. COLING (Industry) 2020: 64-77 - 2017
- [c7]Srivatsa Rangachar Srinivasa, Karthik Mohan, Wei-Hao Chen, Kuo-Hsinag Hsu, Xueqing Li, Meng-Fan Chang, Sumeet Kumar Gupta, John Sampson, Vijaykrishnan Narayanan:
Improving FPGA Design with Monolithic 3D Integration Using High Dense Inter-Stack Via. ISVLSI 2017: 128-133 - 2016
- [c6]Ayan Datta, James D. Warnock, Ankur Shukla, Saurabh Gupta, Yiu H. Chan, Karthik Mohan, Charudhattan Nagarajan:
Design-synthesis co-optimisation using skewed and tapered gates. DATE 2016: 1144-1147 - 2012
- [c5]Karthik Mohan, Michael Jae-Yoon Chung, Seungyeop Han, Daniela M. Witten, Su-In Lee, Maryam Fazel:
Structured Learning of Gaussian Graphical Models. NIPS 2012: 629-637 - 2011
- [c4]Samet Oymak, Karthik Mohan, Maryam Fazel, Babak Hassibi:
A simplified approach to recovery conditions for low rank matrices. ISIT 2011: 2318-2322 - 2010
- [c3]Karthik Mohan, Maryam Fazel:
Iterative reweighted least squares for matrix rank minimization. Allerton 2010: 653-661 - [c2]Karthik Mohan, Maryam Fazel:
Reweighted nuclear norm minimization with application to system identification. ACC 2010: 2953-2959 - [c1]Karthik Mohan, Maryam Fazel:
New Restricted Isometry results for noisy low-rank recovery. ISIT 2010: 1573-1577
Informal and Other Publications
- 2024
- [i5]Karthik Mohan, Hanxiao Wang, Xiatian Zhu:
KANs for Computer Vision: An Experimental Study. CoRR abs/2411.18224 (2024) - 2020
- [i4]Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White:
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. CoRR abs/2011.03877 (2020) - 2013
- [i3]Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee:
Node-Based Learning of Multiple Gaussian Graphical Models. CoRR abs/1303.5145 (2013) - [i2]Karthik Mohan:
ADMM Algorithm for Graphical Lasso with an ℓ∞ Element-wise Norm Constraint. CoRR abs/1311.7198 (2013) - 2011
- [i1]Samet Oymak, Karthik Mohan, Maryam Fazel, Babak Hassibi:
A Simplified Approach to Recovery Conditions for Low Rank Matrices. CoRR abs/1103.1178 (2011)
Coauthor Index
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