Zoubin Ghahramani
University of Cambridge
H-index: 124
Europe-United Kingdom
Top articles of Zoubin Ghahramani
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Resource-efficient neural networks for embedded systems | Journal of Machine Learning Research | Wolfgang Roth Günther Schindler Bernhard Klein Robert Peharz Sebastian Tschiatschek | 2024 |
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models | arXiv preprint arXiv:2404.07839 | Aleksandar Botev Soham De Samuel L Smith Anushan Fernando George-Cristian Muraru | 2024/4/11 |
Gemma: Open models based on gemini research and technology | arXiv preprint arXiv:2403.08295 | Gemma Team Thomas Mesnard Cassidy Hardin Robert Dadashi Surya Bhupatiraju | 2024/3/13 |
Neural diffusion processes | Vincent Dutordoir Alan Saul Zoubin Ghahramani Fergus Simpson | 2023/7/3 | |
Plex: Towards reliability using pretrained large model extensions | arXiv preprint arXiv:2207.07411 | Dustin Tran Jeremiah Liu Michael W Dusenberry Du Phan Mark Collier | 2022/7/15 |
Pre-training helps bayesian optimization too | arXiv preprint arXiv:2207.03084 | Zi Wang George E Dahl Kevin Swersky Chansoo Lee Zelda Mariet | 2022/7/7 |
Unsupervised Learning. 2004 | Zoubin Ghahramani Carl Edward Rasmussen | 2022 | |
Deep neural networks as point estimates for deep Gaussian processes | Advances in Neural Information Processing Systems | Vincent Dutordoir James Hensman Mark van der Wilk Carl Henrik Ek Zoubin Ghahramani | 2021/12/6 |
Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers | Zi Wang George Edward Dahl Kevin Swersky Chansoo Lee Zelda E Mariet | 2021/10/6 | |
Pre-trained Gaussian processes for Bayesian optimization | arXiv preprint arXiv:2109.08215 | Zi Wang George E Dahl Kevin Swersky Chansoo Lee Zachary Nado | 2021/9/16 |
Handling incomplete heterogeneous data using vaes | Pattern Recognition | Alfredo Nazabal Pablo M Olmos Zoubin Ghahramani Isabel Valera | 2020/11/1 |
General latent feature models for heterogeneous datasets | Journal of Machine Learning Research | Isabel Valera Melanie F Pradier Maria Lomeli Zoubin Ghahramani | 2020 |
Random sum-product networks: A simple and effective approach to probabilistic deep learning | Robert Peharz Antonio Vergari Karl Stelzner Alejandro Molina Xiaoting Shao | 2020/8/6 | |
Einsum Networks | International Conference on Machine Learning (ICML) | Robert Peharz Steven Lang Antonio Vergari Karl Stelzner Alejandro Molina | 2020/7 |
Learning continuous treatment policy and bipartite embeddings for matching with heterogeneous causal effects | arXiv preprint arXiv:2004.09703 | Will Y Zou Smitha Shyam Michael Mui Mingshi Wang Jan Pedersen | 2020/4/21 |
Active learning with mixture models | David A Cohn Zoubin Ghahramani Michael I Jordan | 2020/11/25 | |
DynamicPPL: Stan-like speed for dynamic probabilistic models | arXiv preprint arXiv:2002.02702 | Mohamed Tarek Kai Xu Martin Trapp Hong Ge Zoubin Ghahramani | 2020/2/7 |
Einsum networks: Fast and scalable learning of tractable probabilistic circuits | Robert Peharz Steven Lang Antonio Vergari Karl Stelzner Alejandro Molina | 2020/11/21 | |
AdvancedHMC. jl: A robust, modular and efficient implementation of advanced HMC algorithms | Kai Xu Hong Ge Will Tebbutt Mohamed Tarek Martin Trapp | 2020/2/3 |
Co-Authors
