default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAbhiroop Bhattacharjee
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j8]Abhishek Moitra
, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2101-2111 (2024)- [j7]Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
MCAIMem: A Mixed SRAM and eDRAM Cell for Area and Energy-Efficient On-Chip AI Memory. IEEE Trans. Very Large Scale Integr. Syst. 32(11): 2023-2036 (2024) - [c14]Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda:
PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference. DAC 2024: 147:1-147:6 - [c13]Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
HaLo-FL: Hardware-Aware Low-Precision Federated Learning. DATE 2024: 1-6 - [c12]Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda:
Are SNNs Truly Energy-efficient? - A Hardware Perspective. ICASSP 2024: 13311-13315 - [i23]Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation. CoRR abs/2402.02586 (2024) - [i22]Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda:
PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference. CoRR abs/2404.15185 (2024) - [i21]Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing. CoRR abs/2408.12742 (2024) - [i20]Abhishek Moitra, Abhiroop Bhattacharjee, Yuhang Li, Youngeun Kim, Priyadarshini Panda:
When In-memory Computing Meets Spiking Neural Networks - A Perspective on Device-Circuit-System-and-Algorithm Co-design. CoRR abs/2408.12767 (2024) - 2023
- [j6]Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
HyDe: A brid PCM/FeFET/SRAM vice-Search for Optimizing Area and Energy-Efficiencies in Analog IMC Platforms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1073-1082 (2023) - [j5]Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 1926-1938 (2023) - [j4]Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda:
SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3815-3828 (2023) - [j3]Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
XploreNAS: Explore Adversarially Robust and Hardware-efficient Neural Architectures for Non-ideal Xbars. ACM Trans. Embed. Comput. Syst. 22(4): 62:1-62:17 (2023) - [j2]Abhiroop Bhattacharjee, Priyadarshini Panda:
SwitchX: Gmin-Gmax Switching for Energy-efficient and Robust Implementation of Binarized Neural Networks on ReRAM Xbars. ACM Trans. Design Autom. Electr. Syst. 28(4): 60:1-60:21 (2023) - [c11]Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. DAC 2023: 1-6 - [c10]Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks. DATE 2023: 1-6 - [c9]Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda:
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. ACM Great Lakes Symposium on VLSI 2023: 619-624 - [i19]Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks. CoRR abs/2302.04712 (2023) - [i18]Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars. CoRR abs/2302.07769 (2023) - [i17]Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. CoRR abs/2303.17646 (2023) - [i16]Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda:
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. CoRR abs/2305.18416 (2023) - [i15]Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms. CoRR abs/2308.00664 (2023) - [i14]Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda:
Are SNNs Truly Energy-efficient? - A Hardware Perspective. CoRR abs/2309.03388 (2023) - [i13]Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. CoRR abs/2310.06845 (2023) - [i12]Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
MCAIMem: a Mixed SRAM and eDRAM Cell for Area and Energy-efficient on-chip AI Memory. CoRR abs/2312.03559 (2023) - 2022
- [j1]Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda:
NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2625-2637 (2022) - [c8]Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda:
MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning. DAC 2022: 499-504 - [c7]Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda:
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. DATE 2022: 1119-1122 - [c6]Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda:
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? ICASSP 2022: 71-75 - [c5]Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda:
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. ISLPED 2022: 1:1-1:6 - [i11]Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda:
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. CoRR abs/2201.05229 (2022) - [i10]Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda:
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? CoRR abs/2202.03133 (2022) - [i9]Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda:
MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning. CoRR abs/2204.05274 (2022) - [i8]Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda:
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. CoRR abs/2204.05422 (2022) - [i7]Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda:
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. CoRR abs/2206.09599 (2022) - [i6]Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda:
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. CoRR abs/2210.12899 (2022) - 2021
- [c4]Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. DATE 2021: 884-889 - [c3]Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. DATE 2021: 1360-1365 - [c2]Abhiroop Bhattacharjee, Shubham Rai, Ansh Rupani, Michael Raitza, Akash Kumar:
Metastability with Emerging Reconfigurable Transistors: Exploiting Ambipolarity for Throughput. VLSI-SoC 2021: 1-6 - [c1]Shubham Rai, Nishant Gupta, Abhiroop Bhattacharjee, Ansh Rupani, Michael Raitza, Jens Trommer, Thomas Mikolajick, Akash Kumar:
END-TRUE: Emerging Nanotechnology-Based Double-Throughput True Random Number Generator. VLSI-SoC (Selected Papers) 2021: 175-203 - [i5]Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. CoRR abs/2101.04354 (2021) - [i4]Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. CoRR abs/2105.04003 (2021) - 2020
- [i3]Abhiroop Bhattacharjee, Priyadarshini Panda:
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks. CoRR abs/2008.11298 (2020) - [i2]Abhiroop Bhattacharjee, Priyadarshini Panda:
SwitchX- Gmin-Gmax Switching for Energy-Efficient and Robust Implementation of Binary Neural Networks on Memristive Xbars. CoRR abs/2011.14498 (2020) - [i1]Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda:
NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars. CoRR abs/2012.00261 (2020)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 21:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
