NIAMH MAHER

nmaher

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nmaher/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks

updated a dataset about 5 hours ago

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updated a Space about 5 hours ago

Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks

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updated a dataset about 5 hours ago

nmaher/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-traces

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published a bucket 3 days ago

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published a Space 3 days ago

Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks

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updated a bucket 3 days ago

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13.6 kB

published a dataset 3 days ago

nmaher/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-traces

Traces • Updated about 5 hours ago • 1 • 33

updated a dataset 3 days ago

nmaher/icml2026-repro-l35QweVxgn-code

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updated a Space 3 days ago

Reproduction: Tackling Fake Forgetting through Uncertainty Quantification

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updated a bucket 3 days ago

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Reproduction: Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds

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Reproduction: A Studentized Spherical Harmonics-Based Nonparametric Two-Sample Test for Compositional and Directional Data

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Reproduction: Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy

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Reproduction: Deep Flow Networks

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Reproduction: Improved Dynamic Algorithm for Non-monotone Submodular Maximization under Cardinality Constraint

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published a dataset 4 days ago

nmaher/icml2026-repro-l35QweVxgn-code

Viewer • Updated 3 days ago • 21 • 64

updated a Space 4 days ago

Reproduction: Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization

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published 2 Spaces 4 days ago

Reproduction: Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization

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Reproduction: A Studentized Spherical Harmonics-Based Nonparametric Two-Sample Test for Compositional and Directional Data

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updated a Space 4 days ago

Reproduction: Robust Human-AI Complementarity under Uncertainty

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published a Space 4 days ago

Reproduction: Robust Human-AI Complementarity under Uncertainty

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NIAMH MAHER

AI & ML interests

Recent Activity

Organizations

nmaher's activity

Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks

nmaher/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-artifacts

Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks

nmaher/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks-artifacts

Reproduction: Tackling Fake Forgetting through Uncertainty Quantification

nmaher/repro-tackling-fake-forgetting-through-uncertainty-quantification-artifacts

Reproduction: Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds

Reproduction: A Studentized Spherical Harmonics-Based Nonparametric Two-Sample Test for Compositional and Directional Data

Reproduction: Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy

Reproduction: Deep Flow Networks

Reproduction: Improved Dynamic Algorithm for Non-monotone Submodular Maximization under Cardinality Constraint

Reproduction: Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization

Reproduction: Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization

Reproduction: A Studentized Spherical Harmonics-Based Nonparametric Two-Sample Test for Compositional and Directional Data

Reproduction: Robust Human-AI Complementarity under Uncertainty

Reproduction: Robust Human-AI Complementarity under Uncertainty