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Mihaela Rosca
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2020 – today
- 2024
- [i17]Benoit Dherin, Mihaela Rosca:
Corridor Geometry in Gradient-Based Optimization. CoRR abs/2402.08818 (2024) - [i16]Piotr Mirowski, David Warde-Farley, Mihaela Rosca, Matthew Koichi Grimes, Yana Hasson, Hyunjik Kim, Mélanie Rey, Simon Osindero, Suman V. Ravuri, Shakir Mohamed:
Neural Compression of Atmospheric States. CoRR abs/2407.11666 (2024) - 2023
- [j2]Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin:
On a continuous time model of gradient descent dynamics and instability in deep learning. Trans. Mach. Learn. Res. 2023 (2023) - [i15]Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin:
On a continuous time model of gradient descent dynamics and instability in deep learning. CoRR abs/2302.01952 (2023) - [i14]Rares Iordan, Marc Peter Deisenroth, Mihaela Rosca:
Investigating the Edge of Stability Phenomenon in Reinforcement Learning. CoRR abs/2307.04210 (2023) - [i13]Mihaela Rosca, Marc Peter Deisenroth:
Implicit regularisation in stochastic gradient descent: from single-objective to two-player games. CoRR abs/2307.05789 (2023) - 2022
- [c8]Benoit Dherin, Michael Munn, Mihaela Rosca, David Barrett:
Why neural networks find simple solutions: The many regularizers of geometric complexity. NeurIPS 2022 - [i12]Benoit Dherin, Michael Munn, Mihaela Rosca, David G. T. Barrett:
Why neural networks find simple solutions: the many regularizers of geometric complexity. CoRR abs/2209.13083 (2022) - 2021
- [c7]Florin Gogianu, Tudor Berariu, Mihaela Rosca, Claudia Clopath, Lucian Busoniu, Razvan Pascanu:
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective. ICML 2021: 3734-3744 - [c6]Mihaela Rosca, Yan Wu, Benoit Dherin, David Barrett:
Discretization Drift in Two-Player Games. ICML 2021: 9064-9074 - [i11]Florin Gogianu, Tudor Berariu, Mihaela Rosca, Claudia Clopath, Lucian Busoniu, Razvan Pascanu:
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective. CoRR abs/2105.05246 (2021) - [i10]Mihaela Rosca, Yan Wu, Benoit Dherin, David G. T. Barrett:
Discretization Drift in Two-Player Games. CoRR abs/2105.13922 (2021) - 2020
- [j1]Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih:
Monte Carlo Gradient Estimation in Machine Learning. J. Mach. Learn. Res. 21: 132:1-132:62 (2020) - [c5]Mihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed:
A case for new neural network smoothness constraints. ICBINB@NeurIPS 2020: 21-32 - [i9]Mihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed:
A case for new neural network smoothness constraints. CoRR abs/2012.07969 (2020)
2010 – 2019
- 2019
- [c4]Yan Wu, Mihaela Rosca, Timothy P. Lillicrap:
Deep Compressed Sensing. ICML 2019: 6850-6860 - [c3]Cyprien de Masson d'Autume, Shakir Mohamed, Mihaela Rosca, Jack W. Rae:
Training Language GANs from Scratch. NeurIPS 2019: 4302-4313 - [i8]Yan Wu, Mihaela Rosca, Timothy P. Lillicrap:
Deep Compressed Sensing. CoRR abs/1905.06723 (2019) - [i7]Cyprien de Masson d'Autume, Mihaela Rosca, Jack W. Rae, Shakir Mohamed:
Training language GANs from Scratch. CoRR abs/1905.09922 (2019) - [i6]Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih:
Monte Carlo Gradient Estimation in Machine Learning. CoRR abs/1906.10652 (2019) - 2018
- [c2]William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow:
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step. ICLR (Poster) 2018 - [c1]Suman V. Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals:
Learning Implicit Generative Models with the Method of Learned Moments. ICML 2018: 4311-4320 - [i5]Mihaela Rosca, Balaji Lakshminarayanan, Shakir Mohamed:
Distribution Matching in Variational Inference. CoRR abs/1802.06847 (2018) - [i4]Suman V. Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals:
Learning Implicit Generative Models with the Method of Learned Moments. CoRR abs/1806.11006 (2018) - 2017
- [i3]Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, Shakir Mohamed:
Variational Approaches for Auto-Encoding Generative Adversarial Networks. CoRR abs/1706.04987 (2017) - [i2]William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow:
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step. CoRR abs/1710.08446 (2017) - 2016
- [i1]Mihaela Rosca, Thomas M. Breuel:
Sequence-to-sequence neural network models for transliteration. CoRR abs/1610.09565 (2016)
Coauthor Index
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