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Uttej Kallakuri

Utteja Kallakuri – Utteja Panchakshara Kallakuri Niyogi

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2020 – today

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2024
[j3]
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  - journals/tecs/RashidKM24
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Hasib-Al Rashid, Utteja Kallakuri, Tinoosh Mohsenin:
TinyM²Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 23(3): 47:1-47:23 (2024)
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Uttej Kallakuri, Edward Humes, Tinoosh Mohsenin:
Resource-Aware Saliency-Guided Differentiable Pruning for Deep Neural Networks. ACM Great Lakes Symposium on VLSI 2024: 694-699
2022
[j2]
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Aidin Shiri, Uttej Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin:
E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 27(5): 45:1-45:19 (2022)
2021
[j1]
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  - journals/esticas/MazumderMHKZSM21
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Arnab Neelim Mazumder, Jian Meng, Hasib-Al Rashid, Utteja Kallakuri, Xin Zhang, Jae-Sun Seo, Tinoosh Mohsenin:
A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 532-547 (2021)
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Hasib-Al Rashid, Arnab Neelim Mazumder, Utteja Panchakshara Kallakuri Niyogi, Tinoosh Mohsenin:
CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection. AICAS 2021: 1-4

2010 – 2019

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2019
[c2]
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Morteza Hosseini, Mark Horton, Hiren Paneliya, Uttej Kallakuri, Houman Homayoun, Tinoosh Mohsenin:
On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers. DAC 2019: 203
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Morteza Hosseini, Hirenkumar Paneliya, Utteja Kallakuri, Mohit Khatwani, Tinoosh Mohsenin:
Minimizing Classification Energy of Binarized Neural Network Inference for Wearable Devices. ISQED 2019: 259-264

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