PositIV: A Configurable Posit Processor Architecture for Image and Video Processing. - Akshat Ramachandran; John Gustafson; Anusua Roy; Rizwan Ahmed Ansari; Rohin D. Daruwala (DSD, 2022)

NTrans-Net: A Multi-Scale Neutrosophic-Uncertainty Guided Transformer Network for Indoor Depth Completion. - Akshat Ramachandran; Ankit Dhiman; Basavaraja Shanthappa Vandrotti; Jooyoung Kim (ICIP, 2023)

Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. - Akshat Ramachandran; Zishen Wan; Geonhwa Jeong; John Gustafson; Tushar Krishna (DAC, 2024)

CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-training Quantization of ViTs. - Akshat Ramachandran; Souvik Kundu 002; Tushar Krishna (ECCV (67), 2024)

CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs. - Akshat Ramachandran; Souvik Kundu 009; Tushar Krishna (CoRR, 2024)

AIRCHITECT v2: Learning the Hardware Accelerator Design Space Through Unified Representations. - Jamin Seo; Akshat Ramachandran; Yu-Chuan Chuang; Anirudh Itagi; Tushar Krishna (DATE, 2025)

MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization. - Akshat Ramachandran; Souvik Kundu 009; Tushar Krishna (ISCA, 2025)

OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models. - Akshat Ramachandran; Mingyu Lee; Huan Xu; Souvik Kundu 009; Tushar Krishna (CoRR, 2025)

Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. - Akshat Ramachandran; Souvik Kundu 009; Arnab Raha; Shamik Kundu; Deepak A. Mathaikutty; Tushar Krishna (CoRR, 2025)

OneDSE: A Unified Microprocessor Metric Prediction and Design Space Exploration Framework. - Ritik Raj; Akshat Ramachandran; Jeff Nye; Shashank Nemawarkar; Tushar Krishna (CoRR, 2025)