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ORCIDNitthilan Kannappan Jayakodi
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2020 – today
- 2024
[j4]Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning. J. Artif. Intell. Res. 80: 127-170 (2024)- 2022
- [i5]Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. CoRR abs/2204.05944 (2022) - 2021
- [c5]Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande:
A General Hardware and Software Co-Design Framework for Energy-Efficient Edge AI. ICCAD 2021: 1-7 - [i4]Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande:
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms. CoRR abs/2103.12896 (2021) - 2020
- [j3]Nitthilan Kanappan Jayakodi
, Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models. ACM Trans. Embed. Comput. Syst. 19(1): 4:1-4:24 (2020) - [c4]Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. AAAI 2020: 10044-10052 - [c3]Nitthilan Kanappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande:
PETNet: Polycount and Energy Trade-off Deep Networks for Producing 3D Objects from Images. DAC 2020: 1-6 - [c2]Biresh Kumar Joardar, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty:
GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation. DATE 2020: 228-233 - [c1]Nitthilan Kanappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande:
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms. ICCAD 2020: 23:1-23:9
2010 – 2019
- 2019
- [j2]Aryan Deshwal, Nitthilan Kannappan Jayakodi, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande:
MOOS: A Multi-Objective Design Space Exploration and Optimization Framework for NoC Enabled Manycore Systems. ACM Trans. Embed. Comput. Syst. 18(5s): 77:1-77:23 (2019) - [i3]Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability. CoRR abs/1901.08930 (2019) - [i2]Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi, Janardhan Rao Doppa, Partha Pratim Pande:
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach. CoRR abs/1901.10584 (2019) - 2018
- [j1]Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi, Janardhan Rao Doppa, Partha Pratim Pande:
Trading-Off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2881-2893 (2018) - [i1]Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Active Anomaly Detection via Ensembles. CoRR abs/1809.06477 (2018)
Coauthor Index
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