Researcher profile · Semantic Scholar

Michael Murray

h-index: 5
Works: 14
Citations: 102

Most-cited papers

Characterizing the Spectrum of the NTK via a Power Series Expansion
Michael Murray, Hui Jin, Benjamin Bowman, Guido Montúfar
2022International Conference on Learning Representations27 citations Open access
Semantic Scholar
Activation function design for deep networks: linearity and effective initialisation
Michael Murray, V. Abrol, Jared Tanner
2021Applied and Computational Harmonic Analysis24 citations Open access
Semantic Scholar
Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations
Michael Murray, Nick Walker, Amal Nanavati, Patrícia Alves-Oliveira +4 more
2021Conference on Robot Learning22 citations
Semantic Scholar
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape
Kedar Karhadkar, Michael Murray, Hanna Tseran, Guido Montúfar
2023Trans. Mach. Learn. Res.17 citations Open access
Semantic Scholar
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
Erin George, Michael Murray, W. Swartworth, D. Needell
2023Neural Information Processing Systems8 citations Open access
Semantic Scholar
DEEP CNN SPARSE CODING ANALYSIS: TOWARDS AVERAGE CASE
Michael Murray, Jared Tanner
2018Data Science Workshop2 citations Open access
Semantic Scholar
Representation Learning for High-Dimensional Data Collection under Local Differential Privacy
Alex Mansbridge, Gregory Barbour, Davide Piras, Michael Murray +3 more
20201 citations
Semantic Scholar
Encoder Blind Combinatorial Compressed Sensing
Michael Murray, Jared Tanner
2020IEEE Transactions on Information Theory1 citations Open access
Semantic Scholar
The Permuted Striped Block Model and its Factorization - Algorithms with Recovery Guarantees
Michael Murray, Jared Tanner
2020arXiv.org1 citations
Semantic Scholar
From matrix factorisation to signal propagation in deep learning: algorithms and guarantees
Michael Murray
20210 citations
Semantic Scholar
An algorithm with recovery guarantees for Expander Dictionary Learning
Michael Murray, Jared Tanner
20190 citations
Semantic Scholar
Towards an understanding of CNNs: analysing the recovery of activation pathways via Deep Convolutional Sparse Coding
Michael Murray, Jared Tanner
20180 citations
Semantic Scholar
SPARSE CODING ANALYSIS : TOWARDS AVERAGE CASE
Michael Murray, Jared Tanner
20180 citations
Semantic Scholar
Towards an understanding of CNNs: analysing the recovery of activation pathways via Deep Convolutional Sparse Coding
Michael Murray, Jared Tanner
2018arXiv.org0 citations
Semantic Scholar

V. Abrol

×1

Nick Walker×1

Amal Nanavati×1

Patrícia Alves-Oliveira×1

N. Filippov×1

Allison Sauppé×1

Bilge Mutlu×1

Maya Cakmak×1