Kartikeya Bhardwaj

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 39

Top Topics

Super Resolution

Neural Architecture

Top Venues

CySWATER@CPSWeek

ACM Trans. Embed. Comput. Syst.

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. ICML (2023)
Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. ICCV (Workshops) (2023)
Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients. ICLR (2023)
Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients. CoRR (2023)
Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. CoRR (2023)
Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. CoRR (2023)
Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. CoRR (2023)
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)
Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. DATE (2022)
Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh
Restructurable Activation Networks. CoRR (2022)
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 (2021)
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)
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
EdgeAl: A Vision for Deep Learning in the IoT Era. IEEE Des. Test 38 (4) (2021)
Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. CoRR (2021)
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)
Wei Chen, Kartikeya Bhardwaj, Radu Marculescu
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. ECML/PKDD (2) (2020)
Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. CoRR (2020)
Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu
A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference. CVPR Workshops (2020)
Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. DAC (2020)
Wei Chen, Kartikeya Bhardwaj, Radu Marculescu
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. CoRR (2020)
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) (2019)
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
Dream Distillation: A Data-Independent Model Compression Framework. CoRR (2019)
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
EdgeAI: A Vision for Deep Learning in IoT Era. CoRR (2019)
Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. CoRR (2019)
Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. CoRR (2019)
Kartikeya Bhardwaj, Radu Marculescu
Towards Unifying Neural Architecture Space Exploration and Generalization. CoRR (2019)
Kartikeya Bhardwaj, Radu Marculescu
Dimensionality Reduction via Community Detection in Small Sample Datasets. PAKDD (3) (2018)
Anshul Goyal, Kartikeya Bhardwaj, Radu Marculescu
Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks. CoRR (2018)
Jiqian Dong, Gopaljee Atulya, Kartikeya Bhardwaj, Radu Marculescu
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery. CoRR (2018)
Chieh Lo, Kartikeya Bhardwaj, Radu Marculescu
Towards cell-based therapeutics: A bio-inspired autonomous drug delivery system. Nano Commun. Networks 12 (2017)
Kartikeya Bhardwaj, HingOn Miu, Radu Marculescu
Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach. DS (2017)
Kartikeya Bhardwaj, Radu Marculescu
K-hop learning: a network-based feature extraction for improved river flow prediction. CySWATER@CPSWeek (2017)
Kartikeya Bhardwaj, Radu Marculescu
Non-Stationary Bayesian Learning for Global Sustainability. IEEE Trans. Sustain. Comput. 2 (3) (2017)
Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek (2017)
Chieh Lo, Kartikeya Bhardwaj, Radu Marculescu
An Autonomous and Adaptive Bacteria-based Drug Delivery System. NANOCOM (2016)
Kartikeya Bhardwaj, Pravin S. Mane
C3Map and ARPSO based mapping algorithms for energy-efficient regular 3-D NoC architectures. VLSI-DAT (2014)
Kartikeya Bhardwaj, Pravin S. Mane, Jörg Henkel
Power- and area-efficient Approximate Wallace Tree Multiplier for error-resilient systems. ISQED (2014)
Kartikeya Bhardwaj, Pravin S. Mane
ACMA: Accuracy-configurable multiplier architecture for error-resilient System-on-Chip. ReCoSoC (2013)
Kartikeya Bhardwaj, Bharat M. Deshpande
K-Algorithm: An Improved Booth's Recoding for Optimal Fault-Tolerant Reversible Multiplier. VLSI Design (2013)