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ORCIDArnab Neelim Mazumder
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2020 – today
- 2024
[j7]Arnab Neelim Mazumder
, Farshad Safavi, Maryam Rahnemoonfar, Tinoosh Mohsenin:
Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency. ACM Trans. Embed. Comput. Syst. 23(3): 44:1-44:28 (2024)- 2023
- [j6]Arnab Neelim Mazumder, Tinoosh Mohsenin:
Reg-TuneV2: A Hardware-Aware and Multiobjective Regression-Based Fine-Tuning Approach for Deep Neural Networks on Embedded Platforms. IEEE Micro 43(6): 74-83 (2023) - [c6]Arnab Neelim Mazumder, Niall Lyons, Ashutosh Pandey, Avik Santra, Tinoosh Mohsenin:
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach. EUSIPCO 2023: 1-5 - 2022
- [j5]Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin:
A Hardware Accelerator for Language-Guided Reinforcement Learning. IEEE Des. Test 39(3): 37-44 (2022) - [j4]Arnab Neelim Mazumder, Haoran Ren, Hasib-Al Rashid, Morteza Hosseini, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin:
Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor. IEEE Des. Test 39(3): 82-90 (2022) - [j3]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - [i4]Arnab Neelim Mazumder, Tinoosh Mohsenin:
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting. CoRR abs/2202.02361 (2022) - [i3]Arnab Neelim Mazumder, Niall Lyons, Anand Dubey, Ashutosh Pandey, Avik Santra:
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning. CoRR abs/2211.01413 (2022) - 2021
- [j2]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) - [j1]Morteza Hosseini, Nitheesh Kumar Manjunath, Bharat Prakash, Arnab Neelim Mazumder, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin:
Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 29(10): 1757-1770 (2021) - [c5]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 - [c4]Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin:
An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. AICAS 2021: 1-4 - [i2]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - 2020
- [c3]Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin:
Energy-Efficient Hardware for Language Guided Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2020: 131-136 - [c2]Arnab Neelim Mazumder, Hasib-Al Rashid, Tinoosh Mohsenin:
An Energy-Efficient Low Power LSTM Processor for Human Activity Monitoring. SoCC 2020: 54-59 - [c1]Haoran Ren, Arnab Neelim Mazumder, Hasib-Al Rashid, Vandana Chandrareddy, Aidin Shiri, Nitheesh Kumar Manjunath, Tinoosh Mohsenin:
End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection. SoCC 2020: 102-107 - [i1]Morteza Hosseini, Haoran Ren, Hasib-Al Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin:
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information. CoRR abs/2011.13194 (2020)
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