ACMA: Accuracy-configurable multiplier architecture for error-resilient System-on-Chip. - Kartikeya Bhardwaj; Pravin S. Mane (ReCoSoC, 2013)

K-Algorithm: An Improved Booth's Recoding for Optimal Fault-Tolerant Reversible Multiplier. - Kartikeya Bhardwaj; Bharat M. Deshpande (VLSI Design, 2013)

Power- and area-efficient Approximate Wallace Tree Multiplier for error-resilient systems. - Kartikeya Bhardwaj; Pravin S. Mane; Jörg Henkel (ISQED, 2014)

C3Map and ARPSO based mapping algorithms for energy-efficient regular 3-D NoC architectures. - Kartikeya Bhardwaj; Pravin S. Mane (VLSI-DAT, 2014)

An Autonomous and Adaptive Bacteria-based Drug Delivery System. - Chieh Lo; Kartikeya Bhardwaj; Radu Marculescu (NANOCOM, 2016)

K-hop learning: a network-based feature extraction for improved river flow prediction. - Kartikeya Bhardwaj; Radu Marculescu (CySWATER@CPSWeek, 2017)

Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. - Ruizhou Ding; Dimitrios Stamoulis; Kartikeya Bhardwaj; Diana Marculescu; Radu Marculescu (CySWATER@CPSWeek, 2017)

Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach. - Kartikeya Bhardwaj; HingOn Miu; Radu Marculescu (DS, 2017)

Towards cell-based therapeutics: A bio-inspired autonomous drug delivery system. - Chieh Lo; Kartikeya Bhardwaj; Radu Marculescu (Nano Commun. Networks, 2017)

Non-Stationary Bayesian Learning for Global Sustainability. - Kartikeya Bhardwaj; Radu Marculescu (IEEE Trans. Sustain. Comput., 2017)

Dimensionality Reduction via Community Detection in Small Sample Datasets. - Kartikeya Bhardwaj; Radu Marculescu (PAKDD (3), 2018)

A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery. - Jiqian Dong; Gopaljee Atulya; Kartikeya Bhardwaj; Radu Marculescu (CoRR, 2018)

Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks. - Anshul Goyal; Kartikeya Bhardwaj; Radu Marculescu (CoRR, 2018)

NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. - Brian Davis; Umang Bhatt; Kartikeya Bhardwaj; Radu Marculescu; José M. F. Moura (CoRR, 2019)

Dream Distillation: A Data-Independent Model Compression Framework. - Kartikeya Bhardwaj; Naveen Suda; Radu Marculescu (CoRR, 2019)

Towards Unifying Neural Architecture Space Exploration and Generalization. - Kartikeya Bhardwaj; Radu Marculescu (CoRR, 2019)

EdgeAI: A Vision for Deep Learning in IoT Era. - Kartikeya Bhardwaj; Naveen Suda; Radu Marculescu (CoRR, 2019)

Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. - Kartikeya Bhardwaj; Chingyi Lin; Anderson L. Sartor; Radu Marculescu (ACM Trans. Embed. Comput. Syst., 2019)

A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference. - Allen-Jasmin Farcas; Guihong Li; Kartikeya Bhardwaj; Radu Marculescu (CVPR Workshops, 2020)

INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. - Kartikeya Bhardwaj; Wei Chen 124; Radu Marculescu (DAC, 2020)

On Network Science and Mutual Information for Explaining Deep Neural Networks. - Brian Davis; Umang Bhatt; Kartikeya Bhardwaj; Radu Marculescu; José M. F. Moura (ICASSP, 2020)

FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. - Wei Chen 124; Kartikeya Bhardwaj; Radu Marculescu (ECML/PKDD (2), 2020)

New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. - Kartikeya Bhardwaj; Wei Chen 124; Radu Marculescu (CoRR, 2020)

How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections? - Kartikeya Bhardwaj; Guihong Li; Radu Marculescu (CVPR, 2021)

EdgeAl: A Vision for Deep Learning in the IoT Era. - Kartikeya Bhardwaj; Naveen Suda; Radu Marculescu (IEEE Des. Test, 2021)

Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. - Kartikeya Bhardwaj; Dibakar Gope; James Ward; Paul N. Whatmough; Danny Loh (DATE, 2022)

Collapsible Linear Blocks for Super-Efficient Super Resolution. - Kartikeya Bhardwaj; Milos Milosavljevic; Liam O'Neil; Dibakar Gope; Ramon Matas Navarro; Alex Chalfin; Naveen Suda; Lingchuan Meng; Danny Loh (MLSys, 2022)

Restructurable Activation Networks. - Kartikeya Bhardwaj; James Ward; Caleb Tung; Dibakar Gope; Lingchuan Meng; Igor Fedorov; Alex Chalfin; Paul N. Whatmough; Danny Loh (CoRR, 2022)

ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. - Kartikeya Bhardwaj; Hsin-Pai Cheng; Sweta Priyadarshi; Zhuojin Li (ICCV (Workshops), 2023)

ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients. - Guihong Li; Yuedong Yang; Kartikeya Bhardwaj; Radu Marculescu (ICLR, 2023)

TIPS: Topologically Important Path Sampling for Anytime Neural Networks. - Guihong Li; Kartikeya Bhardwaj; Yuedong Yang; Radu Marculescu (ICML, 2023)

Sparse High Rank Adapters. - Kartikeya Bhardwaj; Nilesh Prasad Pandey; Sweta Priyadarshi; Viswanath Ganapathy; Shreya Kadambi; Rafael Esteves 002; Shubhankar Borse; Paul N. Whatmough; Risheek Garrepalli; Mart van Baalen; Harris Teague; Markus Nagel (NeurIPS, 2024)

FouRA: Fourier Low-Rank Adaptation. - Shubhankar Borse; Shreya Kadambi; Nilesh Prasad Pandey; Kartikeya Bhardwaj; Viswanath Ganapathy; Sweta Priyadarshi; Risheek Garrepalli; Rafael Esteves 002; Munawar Hayat; Fatih Porikli (NeurIPS, 2024)

Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language Models. - Kartikeya Bhardwaj; Nilesh Prasad Pandey; Sweta Priyadarshi; Kyunggeun Lee; Jun Ma; Harris Teague (CoRR, 2024)

Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters. - Kartikeya Bhardwaj; Nilesh Prasad Pandey; Sweta Priyadarshi; Viswanath Ganapathy; Rafael Esteves 002; Shreya Kadambi; Shubhankar Borse; Paul N. Whatmough; Risheek Garrepalli; Mart van Baalen; Harris Teague; Markus Nagel (CoRR, 2024)

Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. - Guihong Li; Duc Hoang; Kartikeya Bhardwaj; Ming Lin 002; Zhangyang Wang; Radu Marculescu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization. - Shubhankar Borse; Kartikeya Bhardwaj; Mohammad Reza Karimi Dastjerdi; Hyojin Park 004; Shreya Kadambi; Shobitha Shivakumar; Prathamesh Mandke; Ankita Nayak; Harris Teague; Munawar Hayat; Fatih Porikli (CoRR, 2025)