Knowledge Distillation Inspired Fine-Tuning Of Tucker Decomposed CNNS and Adversarial Robustness Analysis. - Ranajoy Sadhukhan; Avinab Saha; Jayanta Mukhopadhyay; Amit Patra (ICIP, 2020)

Taxonomy Driven Learning Of Semantic Hierarchy Of Classes. - Ranajoy Sadhukhan; Ankita Chatterjee; Jayanta Mukhopadhyay; Amit Patra (ICIP, 2022)

A Memory Efficient Run-time Re-configurable Convolution IP Core for Deep Neural Networks Inference on FPGA Devices. - Swati; Ranajoy Sadhukhan; Mitul Sudhirkumar Nagar; Pinalkumar Engineer (iSES, 2023)

MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. - Jian Chen; Vashisth Tiwari; Ranajoy Sadhukhan; Zhuoming Chen; Jinyuan Shi; Ian En-Hsu Yen; Beidi Chen (CoRR, 2024)

MagicPIG: LSH Sampling for Efficient LLM Generation. - Zhuoming Chen; Ranajoy Sadhukhan; Zihao Ye; Yang Zhou; Jianyu Zhang; Niklas Nolte; Yuandong Tian; Matthijs Douze; Léon Bottou; Zhihao Jia; Beidi Chen (ICLR, 2025)

MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. - Ranajoy Sadhukhan; Jian Chen; Zhuoming Chen; Vashisth Tiwari; Ruihang Lai; Jinyuan Shi; Ian En-Hsu Yen; Avner May; Tianqi Chen; Beidi Chen (ICLR, 2025)

Memory Mosaics. - Jianyu Zhang; Niklas Nolte; Ranajoy Sadhukhan; Beidi Chen; Léon Bottou (ICLR, 2025)

Kinetics: Rethinking Test-Time Scaling Laws. - Ranajoy Sadhukhan; Zhuoming Chen; Haizhong Zheng; Yang Zhou; Emma Strubell; Beidi Chen (CoRR, 2025)