Matthew L Leavitt
Matthew L Leavitt
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Cited by
Cited by
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Convit: Improving vision transformers with soft convolutional inductive biases
S d’Ascoli, H Touvron, ML Leavitt, AS Morcos, G Biroli, L Sagun
International conference on machine learning, 2286-2296, 2021
Sustained activity encoding working memories: not fully distributed
ML Leavitt, D Mendoza-Halliday, JC Martinez-Trujillo
Trends in Neurosciences 40 (6), 328-346, 2017
Correlated variability modifies working memory fidelity in primate prefrontal neuronal ensembles
ML Leavitt, F Pieper, AJ Sachs, JC Martinez-Trujillo
Proceedings of the National Academy of Sciences 114 (12), E2494-E2503, 2017
P Goyal, Q Duval, J Reizenstein, M Leavitt, M Xu, B Lefaudeux, M Singh, ...
Towards falsifiable interpretability research
ML Leavitt, A Morcos
arXiv preprint arXiv:2010.12016, 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
ML Leavitt, A Morcos
arXiv preprint arXiv:2003.01262, 2020
A quadrantic bias in prefrontal representation of visual-mnemonic space
ML Leavitt, F Pieper, AJ Sachs, JC Martinez-Trujillo
Cerebral Cortex 28 (7), 2405-2421, 2018
Structure of spike count correlations reveals functional interactions between neurons in dorsolateral prefrontal cortex area 8a of behaving primates
ML Leavitt, F Pieper, A Sachs, R Joober, JC Martinez-Trujillo
PloS one 8 (4), e61503, 2013
Single-trial decoding of intended eye movement goals from lateral prefrontal cortex neural ensembles
CB Boulay, F Pieper, M Leavitt, J Martinez-Trujillo, AJ Sachs
Journal of neurophysiology 115 (1), 486-499, 2016
Sudden drops in the loss: Syntax acquisition, phase transitions, and simplicity bias in mlms
A Chen, R Schwartz-Ziv, K Cho, ML Leavitt, N Saphra
arXiv preprint arXiv:2309.07311, 2023
A normalization circuit underlying coding of spatial attention in primate lateral prefrontal cortex
L Duong, M Leavitt, F Pieper, A Sachs, J Martinez-Trujillo
eneuro 6 (2), 2019
Linking average-and worst-case perturbation robustness via class selectivity and dimensionality
ML Leavitt, A Morcos
arXiv preprint arXiv:2010.07693, 2020
Knowledge distillation for efficient sequences of training runs
X Liu, A Leonardi, L Yu, C Gilmer-Hill, M Leavitt, J Frankle
arXiv preprint arXiv:2303.06480, 2023
Reduce, reuse, recycle: Improving training efficiency with distillation
C Blakeney, JZ Forde, J Frankle, Z Zong, ML Leavitt
arXiv preprint arXiv:2211.00683, 2022
On the special role of class-selective neurons in early training
O Ranadive, N Thakurdesai, AS Morcos, M Leavitt, S Deny
arXiv preprint arXiv:2305.17409, 2023
Dynamic masking rate schedules for mlm pretraining
Z Ankner, N Saphra, D Blalock, J Frankle, ML Leavitt
arXiv preprint arXiv:2305.15096, 2023
Composer: A PyTorch Library for Efficient Neural Network Training
H Tang, R Rahman, M Patel, M Nadeem, A Venigalla, L Seguin, ..., 2021
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
Z Ankner, C Blakeney, K Sreenivasan, M Marion, ML Leavitt, M Paul
arXiv preprint arXiv:2405.20541, 2024
Neuronal activation sequences in lateral prefrontal cortex encode visuospatial working memory during virtual navigation
A Busch, M Roussy, R Luna, ML Leavitt, MH Mofrad, RA Gulli, B Corrigan, ...
Nature Communications 15 (1), 4471, 2024
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