Sequence-to-sequence neural network models for transliteration. - Mihaela Rosca; Thomas M. Breuel (CoRR, 2016)

Variational Approaches for Auto-Encoding Generative Adversarial Networks. - Mihaela Rosca; Balaji Lakshminarayanan; David Warde-Farley; Shakir Mohamed (CoRR, 2017)

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 (ICLR (Poster), 2018)

Learning Implicit Generative Models with the Method of Learned Moments. - Suman V. Ravuri; Shakir Mohamed; Mihaela Rosca; Oriol Vinyals (ICML, 2018)

Distribution Matching in Variational Inference. - Mihaela Rosca; Balaji Lakshminarayanan; Shakir Mohamed (CoRR, 2018)

Deep Compressed Sensing. - Yan Wu 010; Mihaela Rosca; Timothy P. Lillicrap (ICML, 2019)

Training Language GANs from Scratch. - Cyprien de Masson d'Autume; Shakir Mohamed; Mihaela Rosca; Jack W. Rae (NeurIPS, 2019)

A case for new neural network smoothness constraints. - Mihaela Rosca; Theophane Weber; Arthur Gretton; Shakir Mohamed (ICBINB@NeurIPS, 2020)

Monte Carlo Gradient Estimation in Machine Learning. - Shakir Mohamed; Mihaela Rosca; Michael Figurnov; Andriy Mnih (J. Mach. Learn. Res., 2020)

Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective. - Florin Gogianu; Tudor Berariu; Mihaela Rosca; Claudia Clopath; Lucian Busoniu; Razvan Pascanu (ICML, 2021)

Discretization Drift in Two-Player Games. - Mihaela Rosca; Yan Wu 010; Benoit Dherin; David Barrett 001 (ICML, 2021)

Why neural networks find simple solutions: The many regularizers of geometric complexity. - Benoit Dherin; Michael Munn; Mihaela Rosca; David Barrett 001 (NeurIPS, 2022)

Investigating the Edge of Stability Phenomenon in Reinforcement Learning. - Rares Iordan; Marc Peter Deisenroth; Mihaela Rosca (CoRR, 2023)

Implicit regularisation in stochastic gradient descent: from single-objective to two-player games. - Mihaela Rosca; Marc Peter Deisenroth (CoRR, 2023)

On a continuous time model of gradient descent dynamics and instability in deep learning. - Mihaela Rosca; Yan Wu 010; Chongli Qin; Benoit Dherin (Trans. Mach. Learn. Res., 2023)

Corridor Geometry in Gradient-Based Optimization. - Benoit Dherin; Mihaela Rosca (CoRR, 2024)

Neural Compression of Atmospheric States. - Piotr Mirowski; David Warde-Farley; Mihaela Rosca; Matthew Koichi Grimes; Yana Hasson; Hyunjik Kim; Mélanie Rey; Simon Osindero; Suman V. Ravuri; Shakir Mohamed (CoRR, 2024)