Nilesh Prasad Pandey

14 papers A* 3Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design. CoRR Nilesh Prasad Pandey, Jangseon Park, Onat Güngör, Flavio Ponzina, Tajana Rosing
2025	—	`conf`	DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing. ACM Great Lakes Symposium on VLSI Nilesh Prasad Pandey, Shriniwas Kulkarni, David Wang, Onat Güngör, Flavio Ponzina, Tajana Rosing
2025	J	`jnl`	DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing. CoRR Nilesh Prasad Pandey, Shriniwas Kulkarni, David Wang, Onat Güngör, Flavio Ponzina, Tajana Rosing
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
2023	—	`conf`	A Practical Mixed Precision Algorithm for Post-Training Quantization. BMVC Workshop Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort
2023	J	`jnl`	A Practical Mixed Precision Algorithm for Post-Training Quantization. CoRR Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort
2023	—	`conf`	Softmax Bias Correction for Quantized Generative Models. ICCV (Workshops) Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel
2023	J	`jnl`	Softmax Bias Correction for Quantized Generative Models. CoRR Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel
2022	A*	`conf`	Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device. CVPR Hyojin Park, Alan Yessenbayev, Tushar Singhal, Navin Kumar Adhikari, Yizhe Zhang, Shubhankar Mangesh Borse, Hong Cai, Frank Mayer, Balaji Calidas, Nilesh Prasad Pandey, Fei Yin, Fatih Porikli