Rylan Schaeffer

According to our database1, Rylan Schaeffer authored at least 18 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Bridging Associative Memory and Probabilistic Modeling.
CoRR, 2024

Investigating Data Contamination for Pre-training Language Models.
CoRR, 2024

2023
Incidental Polysemanticity.
CoRR, 2023

Pretraining on the Test Set Is All You Need.
CoRR, 2023

Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting.
CoRR, 2023

Deceptive Alignment Monitoring.
CoRR, 2023

FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation.
CoRR, 2023

Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle.
CoRR, 2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are Emergent Abilities of Large Language Models a Mirage?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergence of Sparse Representations from Noise.
Proceedings of the International Conference on Machine Learning, 2023

2022
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Streaming Inference for Infinite Feature Models.
Proceedings of the International Conference on Machine Learning, 2022

Streaming Inference for Infinite Non-Stationary Clustering.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
An Algorithmic Theory of Metacognition in Minds and Machines.
CoRR, 2021

Efficient online inference for nonparametric mixture models.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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