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ORCIDAnmol Biswas
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2020 – today
- 2024
[c10]Shreyas Deshmukh
, Shubham Patil, Anmol Biswas, Vivek Saraswat, Abhishek Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Resistive Processing Unit-based On-chip ANN Training with Digital Memory. AICAS 2024: 462-466- [c9]Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal, Udayan Ganguly:
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines. ICONS 2024: 78-81 - [c8]Anmol Biswas, Udayan Ganguly:
QFALT: Quantization and Fault Aware Loss for Training Enables Performance Recovery with Unreliable Weights. IJCNN 2024: 1-6 - [c7]Gaurav R, Ujwal Uttarwar, Shreyas Deshmukh, Jayatika Sakhuja, Kunal Randad, Samarth Agarwal, Akshata Koshti, Anmol Biswas, Udayan Ganguly:
Area Efficient Multi-Memristor Bit Cell Design for Resistive Processing Unit-Based Neural Network Training. NVMTS 2024: 1-5 - [i6]Shalini Shrivastava, Anmol Biswas, Samyak Chakrabarty, Gayatri Dash, Vivek Saraswat, Udayan Ganguly:
System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network. CoRR abs/2402.09792 (2024) - [i5]Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal, Udayan Ganguly:
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines. CoRR abs/2411.11414 (2024) - 2023
- [j1]Anmol Biswas, Vivek Saraswat, Udayan Ganguly:
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware. Neuromorph. Comput. Eng. 3(3): 34009 (2023) - [c6]Anmol Biswas, Nivedya S. Nambiar, Kushal Kejriwal, Udayan Ganguly:
MAdapter: A Multimodal Adapter for Liquid State Machines configures the Input Layer for the same Reservoir to enable Vision and Speech Classification. IJCNN 2023: 1-6 - [c5]Abhishek Kadam, Anmol Biswas, Vivek Saraswat, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly:
Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification. IJCNN 2023: 1-7 - [c4]Vineet Kotariya, Anmol Biswas, Udayan Ganguly:
E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders. IJCNN 2023: 1-7 - [i4]Shubham Patil, Jayatika Sakhuja, Ajay Kumar Singh, Anmol Biswas, Vivek Saraswat, Sandeep Kumar, Sandip Lashkare, Udayan Ganguly:
Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing. CoRR abs/2304.08504 (2023) - 2022
- [i3]Anmol Biswas, Vivek Saraswat, Udayan Ganguly:
A Temporally and Spatially Local Spike-based Backpropagation Algorithm to Enable Training in Hardware. CoRR abs/2207.09755 (2022) - 2020
- [c3]Anmol Biswas, Green Rosh K. S, Mandakinee Singh Patel, B. H. Pawan Prasad:
Fast Multi-Stage Motion-Compensated Approach for HDR. ICIP 2020: 2980-2984 - [i2]Anmol Biswas, Green Rosh K. S, Sachin Deepak Lomte:
Spatially Variant Laplacian Pyramids for Multi-Frame Exposure Fusion. CoRR abs/2002.01425 (2020)
2010 – 2019
- 2019
- [c2]Anmol Biswas, Green Rosh K. S, Sachin Deepak Lomte:
Spatially Variant Laplacian Pyramids for Multi-frame Exposure Fusion. CVIP (1) 2019: 73-81 - [c1]Green Rosh K. S, Anmol Biswas, Mandakinee Singh Patel, B. H. Pawan Prasad:
Deep Multi-Stage Learning for HDR With Large Object Motions. ICIP 2019: 4714-4718 - 2016
- [i1]Anmol Biswas, Sidharth Prasad, Sandip Lashkare, Udayan Ganguly:
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation. CoRR abs/1612.02233 (2016)
Coauthor Index
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