Yash Akhauri - RankMe

29 papers A* 3B 1Misc 1Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion. CoRR Zhanqiu Hu, Jian Meng, Yash Akhauri, Mohamed S. Abdelfattah, Jae-sun Seo, Zhiru Zhang, Udit Gupta
2025	J	`jnl`	Esoteric Language Models. CoRR Subham Sekhar Sahoo, Zhihan Yang, Yash Akhauri, Johnna Liu, Deepansha Singh, Zhoujun Cheng, Zhengzhong Liu, Eric Xing, John Thickstun, Arash Vahdat
2025	J	`jnl`	Performance Prediction for Large Systems via Text-to-Text Regression. CoRR Yash Akhauri, Bryan Lewandowski, Cheng-Hsi Lin, Adrian N. Reyes, Grant C. Forbes, Arissa Wongpanich, Bangding Yang, Mohamed S. Abdelfattah, Sagi Perel, Xingyou Song
2025	J	`jnl`	Regression Language Models for Code. CoRR Yash Akhauri, Xingyou Song, Arissa Wongpanich, Bryan Lewandowski, Mohamed S. Abdelfattah
2025	J	`jnl`	SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs. CoRR Ahmed F. AbouElhamayed, Jordan Dotzel, Yash Akhauri, Chi-Chih Chang, Sameh Gobriel, J. Pablo Muñoz, Vui Seng Chua, Nilesh Jain, Mohamed S. Abdelfattah
2025	J	`jnl`	SplitReason: Learning To Offload Reasoning. CoRR Yash Akhauri, Anthony Fei, Chi-Chih Chang, Ahmed F. AbouElhamayed, Yueying Li, Mohamed S. Abdelfattah
2025	J	`jnl`	The Power of Negative Zero: Datatype Customization for Quantized Large Language Models. CoRR Yuzong Chen, Xilai Dai, Chi-Chih Chang, Yash Akhauri, Mohamed S. Abdelfattah
2025	J	`jnl`	TokenButler: Token Importance is Predictable. CoRR Yash Akhauri, Ahmed F. AbouElhamayed, Yifei Gao, Chi-Chih Chang, Nilesh Jain, Mohamed S. Abdelfattah
2025	J	`jnl`	xKV: Cross-Layer SVD for KV-Cache Compression. CoRR Chi-Chih Chang, Chien-Yu Lin, Yash Akhauri, Wei-Cheng Lin, Kai-Chiang Wu, Luis Ceze, Mohamed S. Abdelfattah
2024	J	`jnl`	Attamba: Attending To Multi-Token States. CoRR Yash Akhauri, Safeen Huda, Mohamed S. Abdelfattah
2024	A*	`conf`	Encodings for Prediction-based Neural Architecture Search. ICML Yash Akhauri, Mohamed S. Abdelfattah
2024	J	`jnl`	Encodings for Prediction-based Neural Architecture Search. CoRR Yash Akhauri, Mohamed S. Abdelfattah
2024	—	`conf`	On Latency Predictors for Neural Architecture Search. MLSys Yash Akhauri, Mohamed S. Abdelfattah
2024	J	`jnl`	On Latency Predictors for Neural Architecture Search. CoRR Yash Akhauri, Mohamed S. Abdelfattah
2024	J	`jnl`	Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models. CoRR Jordan Dotzel, Yash Akhauri, Ahmed S. AbouElhamayed, Carly Jiang, Mohamed S. Abdelfattah, Zhiru Zhang
2024	A*	`conf`	ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. EMNLP Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah
2024	J	`jnl`	ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. CoRR Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah
2023	—	`conf`	Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search. AutoML Yash Akhauri, Mohamed S. Abdelfattah
2023	J	`jnl`	Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search. CoRR Yash Akhauri, Mohamed S. Abdelfattah
2022	A*	`conf`	EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring. NeurIPS Yash Akhauri, Juan Pablo Muñoz, Nilesh Jain, Ravi Iyer
2022	J	`jnl`	Evolving Zero Cost Proxies For Neural Architecture Scoring. CoRR Yash Akhauri, J. Pablo Munoz, Nilesh Jain, Ravi Iyer
2021	J	`jnl`	Enabling NAS with Automated Super-Network Generation. CoRR J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri, Anastasia Senina, Alexander Kozlov, Nilesh Jain
2021	J	`jnl`	RHNAS: Realizable Hardware and Neural Architecture Search. CoRR Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz, Suvadeep Banerjee, Abhijit Davare, Pasquale Cocchini, Anton A. Sorokin, Ravi Iyer, Nilesh Jain
2020	J	`jnl`	Exposing Hardware Building Blocks to Machine Learning Frameworks. CoRR Yash Akhauri
2020	Misc	`conf`	High-Throughput DNN Inference with LogicNets. FCCM Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
2020	B	`conf`	LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. FPL Yaman Umuroglu, Yash Akhauri, Nicholas James Fraser, Michaela Blott
2020	J	`jnl`	LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. CoRR Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
2019	—	`conf`	HadaNets: Flexible Quantization Strategies for Neural Networks. CVPR Workshops Yash Akhauri
2019	J	`jnl`	HadaNets: Flexible Quantization Strategies for Neural Networks. CoRR Yash Akhauri