Kartikeya Bhardwaj

50 papers A* 6A 1B 1Misc 2Journal 29Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ObjectAlign: Neuro-Symbolic Object Consistency Verification and Correction. CoRR Mustafa Munir, Harsh Goel, Xiwen Wei, Minkyu Choi, Sahil Shah, Kartikeya Bhardwaj, Paul N. Whatmough, Sandeep Chinchali, Radu Marculescu
2025	J	`jnl`	PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video Editing. CoRR Mustafa Munir, Md Mostafijur Rahman, Kartikeya Bhardwaj, Paul N. Whatmough, Radu Marculescu
2025	J	`jnl`	SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization. CoRR Shubhankar Borse, Kartikeya Bhardwaj, Mohammad Reza Karimi Dastjerdi, Hyojin Park, Shreya Kadambi, Shobitha Shivakumar, Prathamesh Mandke, Ankita Nayak, Harris Teague, Munawar Hayat, Fatih Porikli
2025	J	`jnl`	Video Reasoning without Training. CoRR Deepak Sridhar, Kartikeya Bhardwaj, Jeya Pradha Jeyaraj, Nuno Vasconcelos, Ankita Nayak, Harris Teague
2024	J	`jnl`	FouRA: Fourier Low Rank Adaptation. CoRR Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli
2024	A*	`conf`	FouRA: Fourier Low-Rank Adaptation. NeurIPS Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli
2024	J	`jnl`	Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language Models. CoRR Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Kyunggeun Lee, Jun Ma, Harris Teague
2024	J	`jnl`	Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters. CoRR 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
2024	A*	`conf`	Sparse High Rank Adapters. NeurIPS Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Shreya Kadambi, Rafael Esteves, Shubhankar Borse, Paul N. Whatmough, Risheek Garrepalli, Mart van Baalen, Harris Teague, Markus Nagel
2024	J	`jnl`	Sparse High Rank Adapters. CoRR 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
2024	J	`jnl`	Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. IEEE Trans. Pattern Anal. Mach. Intell. Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu
2023	A*	`conf`	TIPS: Topologically Important Path Sampling for Anytime Neural Networks. ICML Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu
2023	J	`jnl`	TIPS: Topologically Important Path Sampling for Anytime Neural Networks. CoRR Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu
2023	J	`jnl`	Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. CoRR Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu
2023	—	`conf`	ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. ICCV (Workshops) Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li
2023	J	`jnl`	ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks. CoRR Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li
2023	J	`jnl`	ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients. CoRR Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
2023	A*	`conf`	ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients. ICLR Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
2022	—	`conf`	Collapsible Linear Blocks for Super-Efficient Super Resolution. MLSys Kartikeya Bhardwaj, Milos Milosavljevic, Liam O'Neil, Dibakar Gope, Ramon Matas Navarro, Alex Chalfin, Naveen Suda, Lingchuan Meng, Danny Loh
2022	J	`jnl`	Restructurable Activation Networks. CoRR Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh
2022	A	`conf`	Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. DATE Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh
2021	J	`jnl`	Collapsible Linear Blocks for Super-Efficient Super Resolution. CoRR Kartikeya Bhardwaj, Milos Milosavljevic, Alex Chalfin, Naveen Suda, Liam O'Neil, Dibakar Gope, Lingchuan Meng, Ramon Matas Navarro, Danny Loh
2021	J	`jnl`	EdgeAl: A Vision for Deep Learning in the IoT Era. IEEE Des. Test Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
2021	A*	`conf`	How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections? CVPR Kartikeya Bhardwaj, Guihong Li, Radu Marculescu
2021	J	`jnl`	Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. CoRR Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh
2020	—	`conf`	A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference. CVPR Workshops Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu
2020	—	`conf`	FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. ECML/PKDD (2) Wei Chen, Kartikeya Bhardwaj, Radu Marculescu
2020	J	`jnl`	FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. CoRR Wei Chen, Kartikeya Bhardwaj, Radu Marculescu
2020	A*	`conf`	INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. DAC Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
2020	J	`jnl`	New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. CoRR Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
2020	Misc	`conf`	On Network Science and Mutual Information for Explaining Deep Neural Networks. ICASSP Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
2019	J	`jnl`	Dream Distillation: A Data-Independent Model Compression Framework. CoRR Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
2019	J	`jnl`	EdgeAI: A Vision for Deep Learning in IoT Era. CoRR Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
2019	J	`jnl`	Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. CoRR Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu
2019	J	`jnl`	Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. ACM Trans. Embed. Comput. Syst. Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu
2019	J	`jnl`	NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. CoRR Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura
2019	J	`jnl`	Towards Unifying Neural Architecture Space Exploration and Generalization. CoRR Kartikeya Bhardwaj, Radu Marculescu
2018	J	`jnl`	A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery. CoRR Jiqian Dong, Gopaljee Atulya, Kartikeya Bhardwaj, Radu Marculescu
2018	J	`jnl`	Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks. CoRR Anshul Goyal, Kartikeya Bhardwaj, Radu Marculescu
2018	—	`conf`	Dimensionality Reduction via Community Detection in Small Sample Datasets. PAKDD (3) Kartikeya Bhardwaj, Radu Marculescu
2017	B	`conf`	Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach. DS Kartikeya Bhardwaj, HingOn Miu, Radu Marculescu
2017	—	`conf`	Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu
2017	—	`conf`	K-hop learning: a network-based feature extraction for improved river flow prediction. CySWATER@CPSWeek Kartikeya Bhardwaj, Radu Marculescu
2017	J	`jnl`	Non-Stationary Bayesian Learning for Global Sustainability. IEEE Trans. Sustain. Comput. Kartikeya Bhardwaj, Radu Marculescu
2017	J	`jnl`	Towards cell-based therapeutics: A bio-inspired autonomous drug delivery system. Nano Commun. Networks Chieh Lo, Kartikeya Bhardwaj, Radu Marculescu
2016	—	`conf`	An Autonomous and Adaptive Bacteria-based Drug Delivery System. NANOCOM Chieh Lo, Kartikeya Bhardwaj, Radu Marculescu
2014	—	`conf`	C3Map and ARPSO based mapping algorithms for energy-efficient regular 3-D NoC architectures. VLSI-DAT Kartikeya Bhardwaj, Pravin S. Mane
2014	—	`conf`	Power- and area-efficient Approximate Wallace Tree Multiplier for error-resilient systems. ISQED Kartikeya Bhardwaj, Pravin S. Mane, Jörg Henkel
2013	—	`conf`	ACMA: Accuracy-configurable multiplier architecture for error-resilient System-on-Chip. ReCoSoC Kartikeya Bhardwaj, Pravin S. Mane
2013	Misc	`conf`	K-Algorithm: An Improved Booth's Recoding for Optimal Fault-Tolerant Reversible Multiplier. VLSI Design Kartikeya Bhardwaj, Bharat M. Deshpande