Concepedia

Deepak Narayanan

DN

19

Publications

3.8K

Citations

16

H-Index

2017

Active since

Affiliations

Stanford University(Current)

Microsoft Research (United Kingdom)

Microsoft Research (India)

Deepak Narayanan is an author at Stanford University specializing in engineering, computer science, and machine learning.

Top concepts

EngineeringComputer ScienceMachine LearningDeep LearningComputer EngineeringData ScienceParallel ComputingParallel ProgrammingComputer ArchitectureCluster Computing

Publications per year

2017–2023

19

Publications

19

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli et al. · arXiv (Cornell University) · 2021 · 2.1K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

Deepak Narayanan, Aaron Harlap, Amar Phanishayee et al. · 2019 · 710 citations

Present Pipedream, Engineering, Machine Learning +12

MLPerf Training Benchmark

Peter Mattson, Christine Cheng, Cody Coleman et al. · arXiv (Cornell University) · 2019 · 171 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +18

Holistic Evaluation of Language Models

Percy Liang, Rishi Bommasani, Dimitris Tsipras et al. · arXiv (Cornell University) · 2022 · 114 citations · Full text

Llm Fine-tuning, Engineering, Cross-lingual Representation +18

MacroBase

Peter Bailis, Edward Gan, Samuel Madden et al. · 2017 · 99 citations

Present Macrobase, Manual Inspection, Machine Learning +15

Rows per page

1–5 of 19