Mihaela Rosca

According to our database, Mihaela Rosca authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Corridor Geometry in Gradient-Based Optimization.

Benoit Dherin, Mihaela Rosca

CoRR, 2024

2023

On a continuous time model of gradient descent dynamics and instability in deep learning.

Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin

Trans. Mach. Learn. Res., 2023

Implicit regularisation in stochastic gradient descent: from single-objective to two-player games.

Mihaela Rosca, Marc Peter Deisenroth

CoRR, 2023

Investigating the Edge of Stability Phenomenon in Reinforcement Learning.

Rares Iordan, Marc Peter Deisenroth, Mihaela Rosca

CoRR, 2023

2022

Why neural networks find simple solutions: The many regularizers of geometric complexity.

Benoit Dherin, Michael Munn, Mihaela Rosca, David Barrett

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Discretization Drift in Two-Player Games.

Mihaela Rosca, Yan Wu, Benoit Dherin, David Barrett

Proceedings of the 38th International Conference on Machine Learning, 2021

Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective.

Florin Gogianu, Tudor Berariu, Mihaela Rosca, Claudia Clopath, Lucian Busoniu, Razvan Pascanu

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Monte Carlo Gradient Estimation in Machine Learning.

Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih

J. Mach. Learn. Res., 2020

A case for new neural network smoothness constraints.

Mihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

2019

Training Language GANs from Scratch.

Cyprien de Masson d'Autume, Shakir Mohamed, Mihaela Rosca, Jack W. Rae

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Compressed Sensing.

Yan Wu, Mihaela Rosca, Timothy P. Lillicrap

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Distribution Matching in Variational Inference.

Mihaela Rosca, Balaji Lakshminarayanan, Shakir Mohamed

CoRR, 2018

Learning Implicit Generative Models with the Method of Learned Moments.

Suman V. Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals

Proceedings of the 35th International Conference on Machine Learning, 2018

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step.

William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Variational Approaches for Auto-Encoding Generative Adversarial Networks.

Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, Shakir Mohamed

CoRR, 2017

2016

Sequence-to-sequence neural network models for transliteration.

Mihaela Rosca, Thomas M. Breuel

CoRR, 2016