| 2025 | DATE | AIRCHITECT v2: Learning the Hardware Accelerator Design Space Through Unified Representations. | Jamin Seo, Akshat Ramachandran, Yu-Chuan Chuang, Anirudh Itagi, Tushar Krishna |
| 2025 | ICCV | Ouromamba: a Data-Free Quantization Framework for Vision Mamba. | Akshat Ramachandran, Mingyu Lee, Huan Xu, Souvik Kundu, Tushar Krishna |
| 2025 | ISCA | MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization. | Akshat Ramachandran, Souvik Kundu, Tushar Krishna |
| 2025 | ISLPED | Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. | Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak K. Mathaikutty, Tushar Krishna |
| 2024 | DAC | Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. | Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John L. Gustafson, Tushar Krishna |
| 2024 | ECCV | CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-training Quantization of ViTs. | Akshat Ramachandran, Souvik Kundu, Tushar Krishna |
| 2023 | ICIP | NTrans-Net: A Multi-Scale Neutrosophic-Uncertainty Guided Transformer Network for Indoor Depth Completion. | Akshat Ramachandran, Ankit Dhiman, Basavaraja Shanthappa Vandrotti, Jooyoung Kim |
| 2022 | DSD | PositIV: A Configurable Posit Processor Architecture for Image and Video Processing. | Akshat Ramachandran, John Gustafson, Anusua Roy, Rizwan Ahmed Ansari, Rohin D. Daruwala |