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ORCIDKartikeya Bhardwaj
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Journal Articles
- 2021
[j4]Kartikeya Bhardwaj
, Naveen Suda, Radu Marculescu:
EdgeAl: A Vision for Deep Learning in the IoT Era. IEEE Des. Test 38(4): 37-43 (2021)- 2019
- [j3]Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu:
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. ACM Trans. Embed. Comput. Syst. 18(5s): 82:1-82:22 (2019) - 2017
- [j2]Chieh Lo, Kartikeya Bhardwaj, Radu Marculescu:
Towards cell-based therapeutics: A bio-inspired autonomous drug delivery system. Nano Commun. Networks 12: 25-33 (2017) - [j1]Kartikeya Bhardwaj, Radu Marculescu:
Non-Stationary Bayesian Learning for Global Sustainability. IEEE Trans. Sustain. Comput. 2(3): 304-316 (2017)
Conference and Workshop Papers
- 2023
- [c19]Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li:
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. ICCV (Workshops) 2023: 1345-1349 - [c18]Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu:
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients. ICLR 2023 - [c17]Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu:
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. ICML 2023: 19343-19359 - 2022
- [c16]Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh:
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. DATE 2022: 418-423 - [c15]Kartikeya Bhardwaj, Milos Milosavljevic, Liam O'Neil, Dibakar Gope, Ramon Matas Navarro, Alex Chalfin, Naveen Suda, Lingchuan Meng, Danny Loh:
Collapsible Linear Blocks for Super-Efficient Super Resolution. MLSys 2022 - 2021
- [c14]Kartikeya Bhardwaj, Guihong Li, Radu Marculescu:
How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections? CVPR 2021: 13498-13507 - 2020
- [c13]Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu:
A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference. CVPR Workshops 2020: 1600-1601 - [c12]Kartikeya Bhardwaj, Wei Chen, Radu Marculescu:
INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. DAC 2020: 1-6 - [c11]Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura:
On Network Science and Mutual Information for Explaining Deep Neural Networks. ICASSP 2020: 8399-8403 - [c10]Wei Chen, Kartikeya Bhardwaj, Radu Marculescu:
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. ECML/PKDD (2) 2020: 348-363 - 2018
- [c9]Kartikeya Bhardwaj, Radu Marculescu:
Dimensionality Reduction via Community Detection in Small Sample Datasets. PAKDD (3) 2018: 102-114 - 2017
- [c8]Kartikeya Bhardwaj, Radu Marculescu:
K-hop learning: a network-based feature extraction for improved river flow prediction. CySWATER@CPSWeek 2017: 15-18 - [c7]Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu:
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek 2017: 39-42 - [c6]Kartikeya Bhardwaj, HingOn Miu, Radu Marculescu:
Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach. DS 2017: 223-238 - 2016
- [c5]Chieh Lo, Kartikeya Bhardwaj, Radu Marculescu:
An Autonomous and Adaptive Bacteria-based Drug Delivery System. NANOCOM 2016: 19:1-19:6 - 2014
- [c4]Kartikeya Bhardwaj, Pravin S. Mane, Jörg Henkel:
Power- and area-efficient Approximate Wallace Tree Multiplier for error-resilient systems. ISQED 2014: 263-269 - [c3]Kartikeya Bhardwaj, Pravin S. Mane:
C3Map and ARPSO based mapping algorithms for energy-efficient regular 3-D NoC architectures. VLSI-DAT 2014: 1-4 - 2013
- [c2]Kartikeya Bhardwaj, Pravin S. Mane:
ACMA: Accuracy-configurable multiplier architecture for error-resilient System-on-Chip. ReCoSoC 2013: 1-6 - [c1]Kartikeya Bhardwaj, Bharat M. Deshpande:
K-Algorithm: An Improved Booth's Recoding for Optimal Fault-Tolerant Reversible Multiplier. VLSI Design 2013: 362-367
Informal and Other Publications
- 2024
- [i20]Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Kyunggeun Lee, Jun Ma, Harris Teague:
Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language Models. CoRR abs/2403.18159 (2024) - [i19]Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli:
FouRA: Fourier Low Rank Adaptation. CoRR abs/2406.08798 (2024) - [i18]Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Rafael Esteves, Shreya Kadambi, Shubhankar Borse, Paul N. Whatmough, Risheek Garrepalli, Mart van Baalen, Harris Teague, Markus Nagel:
Sparse High Rank Adapters. CoRR abs/2406.13175 (2024) - [i17]Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Rafael Esteves, Shreya Kadambi, Shubhankar Borse, Paul N. Whatmough, Risheek Garrepalli, Mart van Baalen, Harris Teague, Markus Nagel:
Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters. CoRR abs/2407.16712 (2024) - 2023
- [i16]Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu:
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients. CoRR abs/2301.11300 (2023) - [i15]Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu:
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. CoRR abs/2305.08021 (2023) - [i14]Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu:
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. CoRR abs/2307.01998 (2023) - [i13]Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li:
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. CoRR abs/2309.14666 (2023) - 2022
- [i12]Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh:
Restructurable Activation Networks. CoRR abs/2208.08562 (2022) - 2021
- [i11]Kartikeya Bhardwaj, Milos Milosavljevic, Alex Chalfin, Naveen Suda, Liam O'Neil, Dibakar Gope, Lingchuan Meng, Ramon Matas Navarro, Danny Loh:
Collapsible Linear Blocks for Super-Efficient Super Resolution. CoRR abs/2103.09404 (2021) - [i10]Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh:
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. CoRR abs/2112.14340 (2021) - 2020
- [i9]Wei Chen, Kartikeya Bhardwaj, Radu Marculescu:
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. CoRR abs/2004.03657 (2020) - [i8]Kartikeya Bhardwaj, Wei Chen, Radu Marculescu:
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. CoRR abs/2008.10805 (2020) - 2019
- [i7]Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura:
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. CoRR abs/1901.08557 (2019) - [i6]Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu:
Dream Distillation: A Data-Independent Model Compression Framework. CoRR abs/1905.07072 (2019) - [i5]Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu:
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. CoRR abs/1907.11804 (2019) - [i4]Kartikeya Bhardwaj, Radu Marculescu:
Towards Unifying Neural Architecture Space Exploration and Generalization. CoRR abs/1910.00780 (2019) - [i3]Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu:
EdgeAI: A Vision for Deep Learning in IoT Era. CoRR abs/1910.10356 (2019) - 2018
- [i2]Jiqian Dong, Gopaljee Atulya, Kartikeya Bhardwaj, Radu Marculescu:
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery. CoRR abs/1812.00141 (2018) - [i1]Anshul Goyal, Kartikeya Bhardwaj, Radu Marculescu:
Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks. CoRR abs/1812.02634 (2018)
Coauthor Index
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