Rylan Schaeffer
Publications by Year
Research Areas
Topic Modeling, Neural dynamics and brain function, Explainable Artificial Intelligence (XAI), Natural Language Processing Techniques, Neural Networks and Applications
Most-Cited Works
- → Are Emergent Abilities of Large Language Models a Mirage?(2023)132 cited
- → A Brain-Wide Map of Neural Activity during Complex Behaviour(2023)76 cited
- → DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models(2023)59 cited
- → Brain-wide representations of prior information in mouse decision-making(2023)58 cited
- → No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit(2022)56 cited
- → Reverse-engineering Recurrent Neural Network solutions to a hierarchical inference task for mice(2020)44 cited
- → Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells(2023)26 cited
- → Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data(2024)12 cited