Arnab Neelim Mazumder

According to our database, Arnab Neelim Mazumder authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency.

Arnab Neelim Mazumder, Farshad Safavi, Maryam Rahnemoonfar, Tinoosh Mohsenin

ACM Trans. Embed. Comput. Syst., May, 2024

2023

Reg-TuneV2: A Hardware-Aware and Multiobjective Regression-Based Fine-Tuning Approach for Deep Neural Networks on Embedded Platforms.

Arnab Neelim Mazumder, Tinoosh Mohsenin

IEEE Micro, 2023

Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach.

Arnab Neelim Mazumder, Niall Lyons, Ashutosh Pandey, Avik Santra, Tinoosh Mohsenin

Proceedings of the 31st European Signal Processing Conference, 2023

2022

2022 roadmap on neuromorphic computing and engineering.

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

Neuromorph. Comput. Eng., 2022

A Hardware Accelerator for Language-Guided Reinforcement Learning.

Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin

IEEE Des. Test, 2022

Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor.

Arnab Neelim Mazumder, Haoran Ren, Hasib-Al Rashid, Morteza Hosseini, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin

IEEE Des. Test, 2022

XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning.

Arnab Neelim Mazumder, Niall Lyons, Anand Dubey, Ashutosh Pandey, Avik Santra

CoRR, 2022

A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting.

Arnab Neelim Mazumder, Tinoosh Mohsenin

CoRR, 2022

2021

Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks.

Morteza Hosseini, Nitheesh Kumar Manjunath, Bharat Prakash, Arnab Neelim Mazumder, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin

IEEE Trans. Very Large Scale Integr. Syst., 2021

A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference.

Arnab Neelim Mazumder, Jian Meng, Hasib-Al Rashid, Utteja Kallakuri, Xin Zhang, Jae-Sun Seo, Tinoosh Mohsenin

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

2021 Roadmap on Neuromorphic Computing and Engineering.

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

CoRR, 2021

An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection.

Hasib-Al Rashid, Arnab Neelim Mazumder, Utteja Panchakshara Kallakuri Niyogi, Tinoosh Mohsenin

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information.

Morteza Hosseini, Haoran Ren, Hasib-Al Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin

CoRR, 2020

End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection.

Haoran Ren, Arnab Neelim Mazumder, Hasib-Al Rashid, Vandana Chandrareddy, Aidin Shiri, Nitheesh Kumar Manjunath, Tinoosh Mohsenin

Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020

An Energy-Efficient Low Power LSTM Processor for Human Activity Monitoring.

Arnab Neelim Mazumder, Hasib-Al Rashid, Tinoosh Mohsenin

Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020

Energy-Efficient Hardware for Language Guided Reinforcement Learning.

Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020