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Yash Akhauri
Observed name:
Akhauri, Yash
Institution:
Cornell University
Observed institutions:
Google (United States),
Intel (United States),
Cornell University,
Xilinx (Ireland),
Cornell Tech,
Birla Institute of Technology and Science, Pilani
show all 6
OpenAlex ID:
A5039069889
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications
2020
·
Yaman Umuroglu
, Yash Akhauri
, et al.
·
International Conference on Field Programmable Logic and Applications (FPL)
·
130
PDF
FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion
2025
·
Hu, Zhanqiu
, Meng, Jian
, et al.
·
arXiv (Cornell University)
·
11
PDF
EZNAS: Evolving Zero-Cost Proxies for Neural Architecture Scoring
2022
·
Yash Akhauri
, Juan Munoz
, et al.
·
neural information processing systems
·
7
PDF
High-Throughput DNN Inference with LogicNets
2020
·
Yaman Umuroglu
, Yash Akhauri
, et al.
·
IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)
·
7
Performance Prediction for Large Systems via Text-to-Text Regression
2025
·
Akhauri, Yash
, Lewandowski, Bryan
, et al.
·
arXiv (Cornell University)
·
6
PDF
HadaNets: Flexible Quantization Strategies for Neural Networks
2019
·
Yash Akhauri
·
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
·
6
PDF
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
2024
·
Yash Akhauri
, Ahmed F AbouElhamayed
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
5
PDF
Enabling NAS with Automated Super-Network Generation
2021
·
Muñoz, J. Pablo
, Lyalyushkin, Nikolay
, et al.
·
arXiv (Cornell University)
·
4
PDF
SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs
2025
·
AbouElhamayed, Ahmed F.
, Dotzel, Jordan
, et al.
·
arXiv (Cornell University)
·
3
PDF
SplitReason: Learning To Offload Reasoning
2025
·
Akhauri, Yash
, Fei, Anthony
, et al.
·
arXiv (Cornell University)
·
2
PDF
Encodings for Prediction-based Neural Architecture Search
2024
·
Akhauri, Yash
, Abdelfattah, Mohamed S.
·
arXiv (Cornell University)
·
2
PDF
On Latency Predictors for Neural Architecture Search
2024
·
Akhauri, Yash
, Abdelfattah, Mohamed S.
·
arXiv (Cornell University)
·
2
PDF
RHNAS: Realizable Hardware and Neural Architecture Search
2021
·
Akhauri, Yash
, Niranjan, Adithya
, et al.
·
arXiv (Cornell University)
·
2
PDF
Unlocking Lossless Speedups in LLMs via Discrete Diffusion
2026
·
Sahoo, Subham Sekhar
, Chen, Lingjie
, et al.
·
arXiv (Cornell University)
PDF
Compute Where it Counts: Self Optimizing Language Models
2026
·
Akhauri, Yash
, Abdelfattah, Mohamed S.
·
arXiv (Cornell University)
PDF
Regression Language Models for Code
2025
·
Akhauri, Yash
, Song, Xingyou
, et al.
·
arXiv (Cornell University)
PDF
Esoteric Language Models: A Family of Any-Order Diffusion LLMs
2025
·
Sahoo, Subham Sekhar
, Yang, Zhihan
, et al.
·
arXiv (Cornell University)
PDF
Attamba: Attending To Multi-Token States
2024
·
Akhauri, Yash
, Huda, Safeen
, et al.
·
arXiv (Cornell University)
PDF
Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models
2024
·
Dotzel, Jordan
, Akhauri, Yash
, et al.
·
arXiv (Cornell University)
PDF
Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search
2023
·
Akhauri, Yash
, Abdelfattah, Mohamed S.
·
arXiv (Cornell University)
PDF
A Genetic Programming Approach To Zero-Shot Neural Architecture Ranking
2021
·
Yash Akhauri
, J. Pablo Muñoz
, et al.
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Works count:
25
Citation count:
198
H-index:
6
I10-index:
2
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