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ORCIDYash Akhauri
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2020 – today
- 2025
[i16]Yuzong Chen, Xilai Dai, Chi-chih Chang, Yash Akhauri, Mohamed S. Abdelfattah:
The Power of Negative Zero: Datatype Customization for Quantized Large Language Models. CoRR abs/2501.04052 (2025)- [i15]Ahmed F. AbouElhamayed, Jordan Dotzel, Yash Akhauri, Chi-Chih Chang, Sameh Gobriel, J. Pablo Muñoz, Vui Seng Chua, Nilesh Jain, Mohamed S. Abdelfattah:
SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs. CoRR abs/2502.12444 (2025) - [i14]Yash Akhauri, Ahmed F. AbouElhamayed, Yifei Gao, Chi-Chih Chang, Nilesh Jain, Mohamed S. Abdelfattah:
TokenButler: Token Importance is Predictable. CoRR abs/2503.07518 (2025) - [i13]Chi-Chih Chang, Chien-Yu Lin, Yash Akhauri, Wei-Cheng Lin, Kai-Chiang Wu, Luis Ceze, Mohamed S. Abdelfattah:
xKV: Cross-Layer SVD for KV-Cache Compression. CoRR abs/2503.18893 (2025) - 2024
- [c8]Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah:
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. EMNLP 2024: 19154-19167 - [c7]Yash Akhauri, Mohamed S. Abdelfattah:
Encodings for Prediction-based Neural Architecture Search. ICML 2024 - [c6]Yash Akhauri, Mohamed S. Abdelfattah:
On Latency Predictors for Neural Architecture Search. MLSys 2024 - [i12]Yash Akhauri, Mohamed S. Abdelfattah:
On Latency Predictors for Neural Architecture Search. CoRR abs/2403.02446 (2024) - [i11]Yash Akhauri, Mohamed S. Abdelfattah:
Encodings for Prediction-based Neural Architecture Search. CoRR abs/2403.02484 (2024) - [i10]Jordan Dotzel, Yash Akhauri, Ahmed S. AbouElhamayed, Carly Jiang, Mohamed S. Abdelfattah, Zhiru Zhang:
Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models. CoRR abs/2404.04900 (2024) - [i9]Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah:
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. CoRR abs/2406.16635 (2024) - [i8]Yash Akhauri, Safeen Huda, Mohamed S. Abdelfattah:
Attamba: Attending To Multi-Token States. CoRR abs/2411.17685 (2024) - 2023
- [c5]Yash Akhauri, Mohamed S. Abdelfattah:
Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search. AutoML 2023: 23/1-23 - [i7]Yash Akhauri, Mohamed S. Abdelfattah:
Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search. CoRR abs/2306.02459 (2023) - 2022
- [c4]Yash Akhauri, Juan Pablo Muñoz, Nilesh Jain, Ravi Iyer:
EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring. NeurIPS 2022 - [i6]Yash Akhauri, J. Pablo Munoz, Nilesh Jain, Ravi Iyer:
Evolving Zero Cost Proxies For Neural Architecture Scoring. CoRR abs/2209.07413 (2022) - 2021
- [i5]Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz, Suvadeep Banerjee, Abhijit Davare, Pasquale Cocchini, Anton A. Sorokin, Ravi Iyer, Nilesh Jain:
RHNAS: Realizable Hardware and Neural Architecture Search. CoRR abs/2106.09180 (2021) - [i4]J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri, Anastasia Senina, Alexander Kozlov, Nilesh Jain:
Enabling NAS with Automated Super-Network Generation. CoRR abs/2112.10878 (2021) - 2020
- [c3]Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott:
High-Throughput DNN Inference with LogicNets. FCCM 2020: 238 - [c2]Yaman Umuroglu, Yash Akhauri, Nicholas James Fraser, Michaela Blott:
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. FPL 2020: 291-297 - [i3]Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott:
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. CoRR abs/2004.03021 (2020) - [i2]Yash Akhauri:
Exposing Hardware Building Blocks to Machine Learning Frameworks. CoRR abs/2004.05898 (2020)
2010 – 2019
- 2019
- [c1]Yash Akhauri:
HadaNets: Flexible Quantization Strategies for Neural Networks. CVPR Workshops 2019: 526-534 - [i1]Yash Akhauri:
HadaNets: Flexible Quantization Strategies for Neural Networks. CoRR abs/1905.10759 (2019)
Coauthor Index
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