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High-dimensional dynamics of generalization error in neural networks

Neural networks, 2020-12, Vol.132, p.428-446

2020

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A mathematical theory of semantic development in deep neural networks

Proceedings of the National Academy of Sciences - PNAS, 2019-06, Vol.116 (23), p.11537-11546

2019

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Orthogonal representations for robust context-dependent task performance in brains and neural networks

Neuron (Cambridge, Mass.), 2022-04, Vol.110 (7), p.1258-1270.e11

2022

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On the information bottleneck theory of deep learning

Journal of statistical mechanics, 2019-12, Vol.2019 (12), p.124020

2019

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Mice identify subgoal locations through an action-driven mapping process

Neuron (Cambridge, Mass.), 2023-06, Vol.111 (12), p.1966-1978.e8

2023

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Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning

Molecular physics, 2018-11, Vol.116 (21-22), p.3214-3223

2018

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Strategically managing learning during perceptual decision making

eLife, 2023-02, Vol.12

2023

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Abrupt and spontaneous strategy switches emerge in simple regularised neural networks

PLoS computational biology, 2024-10, Vol.20 (10), p.e1012505

2024

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Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals

PLoS computational biology, 2023-01, Vol.19 (1), p.e1010808

2023

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Dynamics of stochastic gradient descent for two-layer neural networks in the teacher–student setup

Journal of statistical mechanics, 2020-12, Vol.2020 (12), p.124010-124010

2020

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Does the Use of Intraoperative Neuromonitoring during Thyroid and Parathyroid Surgery Reduce the Incidence of Recurrent Laryngeal Nerve Injuries? A Systematic Review and Meta-Analysis

Diagnostics (Basel), 2024-05, Vol.14 (9), p.860

2024

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Exact learning dynamics of deep linear networks with prior knowledge

Journal of statistical mechanics, 2023-11, Vol.2023 (11), p.114004-114004

2023

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If deep learning is the answer, what is the question?

Nature reviews. Neuroscience, 2021-01, Vol.22 (1), p.55-67

2021

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ACGME Duty-Hour Restrictions Decrease Resident Operative Volume: A 5-Year Comparison at an ACGME-Accredited University General Surgery Residency

Journal of surgical education, 2007-09, Vol.64 (5), p.256-259

2007

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Is Routine Postoperative Chest X-Ray Necessary after Fluoroscopic-Guided Subclavian Central Venous Port Placement?

Journal of the American College of Surgeons, 2009-04, Vol.208 (4), p.517-519

2009

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Continual task learning in natural and artificial agents

Trends in neurosciences (Regular ed.), 2023-03, Vol.46 (3), p.199-210

2023

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Neural knowledge assembly in humans and neural networks

Neuron (Cambridge, Mass.), 2023-05, Vol.111 (9), p.1504-1516.e9

2023

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An analytical theory of curriculum learning in teacher–student networks This article was also accepted in NeurIPS2022 Proceedings

Journal of statistical mechanics, 2022-11, Vol.2022 (11)

2022

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Orthogonal representations for robust context-dependent task performance in brains and neural networks

Neuron (Cambridge, Mass.), 2022-12, Vol.110 (24), p.4212-4219

2022

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Organizing memories for generalization in complementary learning systems

Nature neuroscience, 2023-08, Vol.26 (8), p.1438-1448

2023

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An analytical theory of curriculum learning in teacher-student networks

Journal of statistical mechanics, 2022-11, Vol.2022 (11), p.114014-114014

2022

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Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals

PLoS computational biology, 2023-01, Vol.19 (1)

2023

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A deep learning framework for neuroscience

Nature neuroscience, 2019-11, Vol.22 (11), p.1761-1770

2019

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Does Obesity Influence Lymph Node Harvest among Patients Undergoing Colectomy for Colon Cancer?

The American surgeon, 2008-11, Vol.74 (11), p.1073-1077

2008

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Probing transfer learning with a model of synthetic correlated datasets

Machine learning: science and technology, 2022-03, Vol.3 (1), p.15030

2022

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High-dimensional dynamics of generalization error in neural networks

A mathematical theory of semantic development in deep neural networks

Orthogonal representations for robust context-dependent task performance in brains and neural networks

On the information bottleneck theory of deep learning

Mice identify subgoal locations through an action-driven mapping process

Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning

Strategically managing learning during perceptual decision making

Abrupt and spontaneous strategy switches emerge in simple regularised neural networks

Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals

Dynamics of stochastic gradient descent for two-layer neural networks in the teacher–student setup

Does the Use of Intraoperative Neuromonitoring during Thyroid and Parathyroid Surgery Reduce the Incidence of Recurrent Laryngeal Nerve Injuries? A Systematic Review and Meta-Analysis

Exact learning dynamics of deep linear networks with prior knowledge

If deep learning is the answer, what is the question?

ACGME Duty-Hour Restrictions Decrease Resident Operative Volume: A 5-Year Comparison at an ACGME-Accredited University General Surgery Residency

Is Routine Postoperative Chest X-Ray Necessary after Fluoroscopic-Guided Subclavian Central Venous Port Placement?

Continual task learning in natural and artificial agents

Neural knowledge assembly in humans and neural networks

An analytical theory of curriculum learning in teacher–student networks This article was also accepted in NeurIPS2022 Proceedings

Orthogonal representations for robust context-dependent task performance in brains and neural networks

Organizing memories for generalization in complementary learning systems

An analytical theory of curriculum learning in teacher-student networks

Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals

A deep learning framework for neuroscience

Does Obesity Influence Lymph Node Harvest among Patients Undergoing Colectomy for Colon Cancer?

Probing transfer learning with a model of synthetic correlated datasets

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