HadaNets: Flexible Quantization Strategies for Neural Networks. - Yash Akhauri (CVPR Workshops, 2019)

High-Throughput DNN Inference with LogicNets. - Yaman Umuroglu; Yash Akhauri; Nicholas J. Fraser; Michaela Blott (FCCM, 2020)

LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. - Yaman Umuroglu; Yash Akhauri; Nicholas James Fraser; Michaela Blott (FPL, 2020)

Exposing Hardware Building Blocks to Machine Learning Frameworks. - Yash Akhauri (CoRR, 2020)

RHNAS: Realizable Hardware and Neural Architecture Search. - Yash Akhauri; Adithya Niranjan; J. Pablo Muñoz; Suvadeep Banerjee; Abhijit Davare; Pasquale Cocchini; Anton A. Sorokin; Ravi Iyer 001; Nilesh Jain (CoRR, 2021)

Enabling NAS with Automated Super-Network Generation. - J. Pablo Muñoz; Nikolay Lyalyushkin; Yash Akhauri; Anastasia Senina; Alexander Kozlov; Nilesh Jain (CoRR, 2021)

EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring. - Yash Akhauri; Juan Pablo Muñoz; Nilesh Jain; Ravi Iyer 001 (NeurIPS, 2022)

Evolving Zero Cost Proxies For Neural Architecture Scoring. - Yash Akhauri; J. Pablo Munoz; Nilesh Jain; Ravi Iyer 001 (CoRR, 2022)

Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search. - Yash Akhauri; Mohamed S. Abdelfattah (AutoML, 2023)

ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. - Yash Akhauri; Ahmed F. AbouElhamayed; Jordan Dotzel; Zhiru Zhang; Alexander M. Rush; Safeen Huda; Mohamed S. Abdelfattah (EMNLP, 2024)

Encodings for Prediction-based Neural Architecture Search. - Yash Akhauri; Mohamed S. Abdelfattah (ICML, 2024)

On Latency Predictors for Neural Architecture Search. - Yash Akhauri; Mohamed S. Abdelfattah (MLSys, 2024)

Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models. - Jordan Dotzel; Yash Akhauri; Ahmed S. AbouElhamayed; Carly Jiang; Mohamed S. Abdelfattah; Zhiru Zhang (CoRR, 2024)

Attamba: Attending To Multi-Token States. - Yash Akhauri; Safeen Huda; Mohamed S. Abdelfattah (CoRR, 2024)

The Power of Negative Zero: Datatype Customization for Quantized Large Language Models. - Yuzong Chen 001; Xilai Dai; Chi-chih Chang; Yash Akhauri; Mohamed S. Abdelfattah (CoRR, 2025)

SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs. - Ahmed F. AbouElhamayed; Jordan Dotzel; Yash Akhauri; Chi-Chih Chang; Sameh Gobriel; J. Pablo Muñoz; Vui Seng Chua; Nilesh Jain; Mohamed S. Abdelfattah (CoRR, 2025)

TokenButler: Token Importance is Predictable. - Yash Akhauri; Ahmed F. AbouElhamayed; Yifei Gao; Chi-Chih Chang; Nilesh Jain; Mohamed S. Abdelfattah (CoRR, 2025)

xKV: Cross-Layer SVD for KV-Cache Compression. - Chi-Chih Chang; Chien-Yu Lin; Yash Akhauri; Wei-Cheng Lin; Kai-Chiang Wu; Luis Ceze; Mohamed S. Abdelfattah (CoRR, 2025)

SplitReason: Learning To Offload Reasoning. - Yash Akhauri; Anthony Fei; Chi-Chih Chang; Ahmed F. AbouElhamayed; Yueying Li; Mohamed S. Abdelfattah (CoRR, 2025)

Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion. - Zhanqiu Hu; Jian Meng; Yash Akhauri; Mohamed S. Abdelfattah; Jae-sun Seo; Zhiru Zhang; Udit Gupta (CoRR, 2025)

Esoteric Language Models. - Subham Sekhar Sahoo; Zhihan Yang; Yash Akhauri; Johnna Liu; Deepansha Singh; Zhoujun Cheng; Zhengzhong Liu 001; Eric Xing; John Thickstun; Arash Vahdat (CoRR, 2025)

Performance Prediction for Large Systems via Text-to-Text Regression. - Yash Akhauri; Bryan Lewandowski; Cheng-Hsi Lin; Adrian N. Reyes; Grant C. Forbes; Arissa Wongpanich; Bangding Yang; Mohamed S. Abdelfattah; Sagi Perel; Xingyou Song (CoRR, 2025)