| # | URL | Анкор | Nofollow |
|---|
| 1 | https://scholar.google.co.uk/citations?user=MxkDwD0AAAAJ&hl=en | Google scholar | |
| 2 | http://github.com/mihaelacr | Github | |
| 3 | https://twitter.com/MihaelaCRosca | Twitter | |
| 4 | https://arxiv.org/abs/1906.10652 | Monte Carlo Gradient Estimation in Machine Learning | |
| 5 | http://bayesiandeeplearning.org/2019/papers/76.pdf | Measure-Valued Derivatives for Approximate Bayesian Inference | |
| 6 | https://arxiv.org/abs/1905.09922 | Training language GANs from scratch | |
| 7 | https://arxiv.org/abs/1905.06723 | Deep Compressed Sensing | |
| 8 | https://arxiv.org/abs/1706.04987 | Variational Approaches for Auto-Encoding GANs | |
| 9 | https://arxiv.org/abs/1710.08446 | Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step | |
| 10 | https://arxiv.org/pdf/1802.06847.pdf | Distribution matching in variational inference | |
| 11 | https://arxiv.org/pdf/1806.11006.pdf | Learning Implicit Generative Models with the Method of Learned Moments | |
| 12 | https://arxiv.org/abs/1610.09565 | Sequence-to-sequence neural network models for transliteration | |
| 13 | http://elarosca.net/report.pdf | Networks with emotions, master thesis | |
| 14 | http://elarosca.net/scratch_gan_ganocracy.pdf | Training language GANs from Scratch at Ganocracy | |
| 15 | http://efrosgans.eecs.berkeley.edu/CVPR18_slides/VAE_GANS_by_Rosca.pdf | VAE-GAN Hybrids at the GAN tutorial at CVPR 2018 | |
| 16 | http://elarosca.net/gen_models_bath.pdf | The power and the promise of generative models | |
| 17 | http://elarosca.net/intro_generative_models.pdf | Unsupervised learning for building intelligent systems | |
| 18 | http://elarosca.net/slides/iccv_autoencoder_gans.pdf | Autoencoder GAN talk at GAN workshop at ICCV 2017 | |
| 19 | http://www.idiap.ch/workshop/dltm/ | TensorFlow talk at the Deep Learning, Tools and Methods workshop | |
| 20 | https://www.youtube.com/watch?v=HbyyIrjBpTc&list=PL9zNDV8YXNnU2Nyq9-LbFsU949lHEVvkv&index=5 | TensorFlow talk at DevFest 2016 | |
| 21 | https://github.com/deepmind/mc_gradients | Github | |
| 22 | https://github.com/deepmind/deepmind-research/tree/master/cs_gan | Github | |
| 23 | https://github.com/mihaelacr/pydeeplearn | Github | |
| 24 | https://github.com/imperialhopfield/hopfield | Github | |
| 25 | https://github.com/mihaelacr/AutoLock | Github | |
| 26 | https://nips.cc/Conferences/2018/Reviewers | Top 200 reviewer NeurIPS 2018 | |
| 27 | https://nips.cc/Conferences/2019/Reviewers | Top reviewer NeurIPS 2019 | |
| 28 | http://eeml.ro | EEML | |
| 29 | http://www.tmlss.ro | TMLSS | |
| 30 | https://sites.google.com/view/iccv-2017-gans/home | Website | |
| 31 | https://github.com/mihaelacr/paper-notes | my machine learning notes | |
| 32 | https://templated.co | TEMPLATED | |