Concepedia

Rylan Schaeffer

RS

Statistics

Publications

11

Citations

522

H-Index

11

Active since

2020

Affiliations

Massachusetts Institute of Technology(Current)

Stanford University

Princeton University

Allen Institute for Neural Dynamics

University College London

Rylan Schaeffer is an author at Massachusetts Institute of Technology specializing in social sciences, engineering, and cognitive science.

Top concepts

EngineeringSocial SciencesNeuroscienceDeep LearningComputer ScienceMachine LearningCognitive ScienceComputational NeuroscienceData ScienceHuman Neuroscience

Publications per year

2020–2025

11

Publications

11

Are Emergent Abilities of Large Language Models a Mirage?

Rylan Schaeffer, Brando Miranda, Sanmi Koyejo · arXiv (Cornell University) · 2023 · 132 citations · Full text

Different Metrics, Language Evolution, Neurolinguistics +20

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Boxin Wang, Weixin Chen, Hengzhi Pei et al. · arXiv (Cornell University) · 2023 · 58 citations · Full text

Privacy Protection, Engineering, Machine Learning +25

Brain-wide representations of prior information in mouse decision-making

Charles Findling, Félix Hubert, Luigi Acerbi et al. · 2023 · 58 citations · Full text

Brain Mechanism, Neural Recoding, Affective Neuroscience +18

No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit

Rylan Schaeffer, Mikail Khona, Ila Fiete · 2022 · 56 citations · Full text

Engineering, Neural Recoding, Deep Learning Models +18

Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools

Dan Biderman, Matthew R Whiteway, Cole Hurwitz et al. · Nature Methods · 2024 · 48 citations · Full text

Machine Vision, Machine Learning, Data Science +7

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