Anmol Biswas

19 papers B 6Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Analog and Temporary On-chip Memory for ANN Training and Inference.
ACM J. Emerg. Technol. Comput. Syst.
Shreyas Deshmukh, Raghav Singhal, Shruti Landge, Vivek Saraswat, Anmol Biswas, Abhishek Kadam, Ajay Kumar Singh, Sreenivas Subramoney, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly
2025 J jnl
Regularization-based Framework for Quantization-, Fault- and Variability-Aware Training.
CoRR
Anmol Biswas, Raghav Singhal, Sivakumar Elangovan, Shreyas Sabnis, Udayan Ganguly
2024 — conf
Area Efficient Multi-Memristor Bit Cell Design for Resistive Processing Unit-Based Neural Network Training.
NVMTS
Gaurav R, Ujwal Uttarwar, Shreyas Deshmukh, Jayatika Sakhuja, Kunal Randad, Samarth Agarwal, Akshata Koshti, Anmol Biswas, Udayan Ganguly
2024 B conf
QFALT: Quantization and Fault Aware Loss for Training Enables Performance Recovery with Unreliable Weights.
IJCNN
Anmol Biswas, Udayan Ganguly
2024 — conf
Resistive Processing Unit-based On-chip ANN Training with Digital Memory.
AICAS
Shreyas Deshmukh, Shubham Patil, Anmol Biswas, Vivek Saraswat, Abhishek Kadam, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly
2024 J jnl
System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network.
CoRR
Shalini Shrivastava, Anmol Biswas, Samyak Chakrabarty, Gayatri Dash, Vivek Saraswat, Udayan Ganguly
2024 — conf
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines.
ICONS
Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal, Udayan Ganguly
2024 J jnl
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines.
CoRR
Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal, Udayan Ganguly
2023 J jnl
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware.
Neuromorph. Comput. Eng.
Anmol Biswas, Vivek Saraswat, Udayan Ganguly
2023 B conf
E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders.
IJCNN
Vineet Kotariya, Anmol Biswas, Udayan Ganguly
2023 B conf
MAdapter: A Multimodal Adapter for Liquid State Machines configures the Input Layer for the same Reservoir to enable Vision and Speech Classification.
IJCNN
Anmol Biswas, Nivedya S. Nambiar, Kushal Kejriwal, Udayan Ganguly
2023 B conf
Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification.
IJCNN
Abhishek Kadam, Anmol Biswas, Vivek Saraswat, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly
2023 J jnl
Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing.
CoRR
Shubham Patil, Jayatika Sakhuja, Ajay Kumar Singh, Anmol Biswas, Vivek Saraswat, Sandeep Kumar, Sandip Lashkare, Udayan Ganguly
2022 J jnl
A Temporally and Spatially Local Spike-based Backpropagation Algorithm to Enable Training in Hardware.
CoRR
Anmol Biswas, Vivek Saraswat, Udayan Ganguly
2020 B conf
Fast Multi-Stage Motion-Compensated Approach for HDR.
ICIP
Anmol Biswas, Green Rosh K. S, Mandakinee Singh Patel, B. H. Pawan Prasad
2020 J jnl
Spatially Variant Laplacian Pyramids for Multi-Frame Exposure Fusion.
CoRR
Anmol Biswas, Green Rosh K. S, Sachin Deepak Lomte
2019 B conf
Deep Multi-Stage Learning for HDR With Large Object Motions.
ICIP
Green Rosh K. S, Anmol Biswas, Mandakinee Singh Patel, B. H. Pawan Prasad
2019 — conf
Spatially Variant Laplacian Pyramids for Multi-frame Exposure Fusion.
CVIP (1)
Anmol Biswas, Green Rosh K. S, Sachin Deepak Lomte
2016 J jnl
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation.
CoRR
Anmol Biswas, Sidharth Prasad, Sandip Lashkare, Udayan Ganguly