Anup Sarma

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 11

Top Topics

Image Segmentation

Convolutional Neural Networks

Top Venues

J. Chem. Inf. Model.

Publications

Huaipan Jiang, Jian Wang, Weilin Cong, Yihe Huang, Morteza Ramezani, Anup Sarma, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir
Predicting Protein-Ligand Docking Structure with Graph Neural Network. J. Chem. Inf. Model. 62 (12) (2022)
Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Mahmut T. Kandemir, Emre Neftci, Vijaykrishnan Narayanan, Chita R. Das
Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. MICRO (2022)
Anup Sarma, Sonali Singh, Huaipan Jiang, Ashutosh Pattnaik, Asit K. Mishra, Vijaykrishnan Narayanan, Mahmut T. Kandemir, Chita R. Das
Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs. CoRR (2021)
Huaipan Jiang, Anup Sarma, Mengran Fan, Jihyun Ryoo, Meenakshi Arunachalam, Sharada Naveen, Mahmut T. Kandemir
Morphable Convolutional Neural Network for Biomedical Image Segmentation. DATE (2021)
Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T. Kandemir, Chita R. Das
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training. NeurIPS (2021)
Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das
Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors. ISLPED (2021)
Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T. Kandemir, Chita R. Das
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training. CoRR (2021)
Huaipan Jiang, Mengran Fan, Jian Wang, Anup Sarma, Shruti Mohanty, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir
Guiding Conventional Protein-Ligand Docking Software with Convolutional Neural Networks. J. Chem. Inf. Model. 60 (10) (2020)
Sonali Singh, Anup Sarma, Nicholas Jao, Ashutosh Pattnaik, Sen Lu, Kezhou Yang, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das
NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs. ISCA (2020)
Anup Sarma, Huaipan Jiang, Ashutosh Pattnaik, Jagadish Kotra, Mahmut Taylan Kandemir, Chita R. Das
CASH: compiler assisted hardware design for improving DRAM energy efficiency in CNN inference. MEMSYS (2019)
Huaipan Jiang, Anup Sarma, Jihyun Ryoo, Jagadish B. Kotra, Meena Arunachalam, Chita R. Das, Mahmut T. Kandemir
A Learning-Guided Hierarchical Approach for Biomedical Image Segmentation. SoCC (2018)
Anup Sarma, Soubhagya Sutar, Vijay Kumar Sharma, Kamala Kanta Mahapatra
An ASIP for image enhancement applications in spatial domain using LISA. ReTIS (2011)