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Rylan Schaeffer
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Are emergent abilities of Large Language Models a mirage?
R Schaeffer, B Miranda, S Koyejo
Advances in Neural Information Processing Systems, 2023
1562023
Decodingtrust: A comprehensive assessment of trustworthiness in gpt models
B Wang, W Chen, H Pei, C Xie, M Kang, C Zhang, C Xu, Z Xiong, R Dutta, ...
arXiv preprint arXiv:2306.11698, 2023
992023
No free lunch from deep learning in neuroscience: A case study through models of the entorhinal-hippocampal circuit
R Schaeffer, M Khona, I Fiete
Advances in Neural Information Processing Systems, 2022
452022
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice
R Schaeffer, M Khona, L Meshulam, IR Fiete
Advances in Neural Information Processing Systems (NeurIPS), 2020
332020
Brain-wide representations of prior information in mouse decision-making
C Findling, F Hubert, International Brain Laboratory, L Acerbi, B Benson, ...
BioRxiv, 2023.07. 04.547684, 2023
132023
Pretraining on the test set is all you need
R Schaeffer
arXiv preprint arXiv:2309.08632, 2023
82023
Double descent demystified: Identifying, interpreting & ablating the sources of a deep learning puzzle
R Schaeffer, M Khona, Z Robertson, A Boopathy, K Pistunova, JW Rocks, ...
arXiv preprint arXiv:2303.14151, 2023
82023
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
R Schaeffer, M Khona, T Ma, C Eyzaguirre, S Koyejo, IR Fiete
Advances in Neural Information Processing Systems (NeurIPS), 2023
62023
A brain-wide map of neural activity during complex behaviour
International Brain Lab, B Benson, J Benson, D Birman, N Bonacchi, ...
bioRxiv, 2023.07. 04.547681, 2023
52023
Investigating data contamination for pre-training language models
M Jiang, KZ Liu, M Zhong, R Schaeffer, S Ouyang, J Han, S Koyejo
arXiv preprint arXiv:2401.06059, 2024
42024
Efficient online inference for nonparametric mixture models
R Schaeffer, B Bordelon, M Khona, W Pan, IR Fiete
Uncertainty in Artificial Intelligence, 2072-2081, 2021
42021
Deceptive alignment monitoring
A Carranza, D Pai, R Schaeffer, A Tandon, S Koyejo
ICML 2023 Workshop: Adversarial Machine Learning Frontiers, 2023
32023
Emergence of sparse representations from noise
T Bricken, R Schaeffer, B Olshausen, G Kreiman
32023
Disentangling Fact from Grid Cell Fiction in Trained Deep Path Integrators
R Schaeffer, M Khona, S Koyejo, IR Fiete
arXiv preprint arXiv:2312.03954, 2023
12023
Testing assumptions underlying a unified theory for the origin of grid cells
R Schaeffer, M Khona, A Bertagnoli, S Koyejo, IR Fiete
arXiv preprint arXiv:2311.16295, 2023
12023
Associative Memory Under the Probabilistic Lens: Improved Transformers & Dynamic Memory Creation
R Schaeffer, M Khona, N Zahedi, IR Fiete, A Gromov, S Koyejo
NeurIPS 2023 Workshop: Associative Memory & Hopfield Networks, 2023
12023
Divergence at the Interpolation Threshold: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
R Schaeffer, Z Robertson, A Boopathy, M Khona, I Fiete, A Gromov, ...
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023
12023
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting
R Schaeffer, K Pistunova, S Khanna, S Consul, S Koyejo
ICML 2023 Workshop: Knowledge and Logical Reasoning in the Era of Data …, 2023
12023
Bridging Associative Memory and Probabilistic Modeling
R Schaeffer, N Zahedi, M Khona, D Pai, S Truong, Y Du, M Ostrow, ...
arXiv preprint arXiv:2402.10202, 2024
2024
What Causes Polysemanticity? An Alternative Origin Story of Mixed Selectivity from Incidental Causes
V Lecomte, K Thaman, R Schaeffer, N Bashkansky, T Chow, S Koyejo
arXiv preprint arXiv:2312.03096, 2024
2024
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