Jiri Hron

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Alexander G. D. G. MatthewsDeepMindDirección de correo verificada de google.com
Jascha Sohl-DicksteinAnthropicDirección de correo verificada de anthropic.com
Roman NovakOpenAIDirección de correo verificada de polytechnique.edu
Mark RowlandResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Jaehoon LeeAnthropicDirección de correo verificada de anthropic.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleDirección de correo verificada de eng.cam.ac.uk
Lechao XiaoGoogle DeepMindDirección de correo verificada de google.com
Yasaman BahriResearch Scientist, Google DeepMind (formerly Brain)Dirección de correo verificada de google.com
Richard E TurnerProfessor, University of CambridgeDirección de correo verificada de cam.ac.uk
Jeffrey PenningtonGoogle BrainDirección de correo verificada de google.com
Greg YangxAIDirección de correo verificada de x.ai
Karl KrauthPostdoc, StanfordDirección de correo verificada de stanford.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Niki KilbertusTechnical University of Munich & Helmholtz MunichDirección de correo verificada de tum.de
Samuel S. SchoenholzOpenAIDirección de correo verificada de openai.com
Miri ZilkaResearch Fellow, University of CambridgeDirección de correo verificada de cam.ac.uk

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Jiri Hron

Google DeepMind

Dirección de correo verificada de google.com - Página principal

Machine Learning Statistics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Concrete dropout Y Gal, J Hron, A Kendall NeurIPS, 2017	761	2017
Gaussian process behaviour in wide deep neural networks AGG Matthews, J Hron, M Rowland, RE Turner, Z Ghahramani ICLR, 2018	594*	2018
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes R Novak, L Xiao, Y Bahri, J Lee, G Yang, J Hron, DA Abolafia, ... ICLR, 2019	392	2019
Neural Tangents: Fast and Easy Infinite Neural Networks in Python R Novak, L Xiao, J Hron, J Lee, AA Alemi, J Sohl-Dickstein, ... ICLR, 2020	263	2020
Infinite attention: NNGP and NTK for deep attention networks J Hron, Y Bahri, J Sohl-Dickstein, R Novak ICML, 2020	138	2020
Variational Bayesian dropout: pitfalls and fixes J Hron, AGG Matthews, Z Ghahramani ICML, 2018	84	2018
Successor Uncertainties: exploration and uncertainty in temporal difference learning D Janz, J Hron, JM Hernández-Lobato, K Hofmann, S Tschiatschek NeurIPS, 2019	69	2019
Beyond human data: Scaling self-training for problem-solving with language models A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, X Garcia, PJ Liu, ... arXiv preprint arXiv:2312.06585, 2023	63	2023
Variational Gaussian Dropout is not Bayesian J Hron, AGG Matthews, Z Ghahramani Bayesian Deep Learning (NeurIPS workshop), 2017	61	2017
Orthogonal Estimation of Wasserstein Distances M Rowland, J Hron, Y Tang*, K Choromanski, T Sarlos, A Weller AISTATS, 2019	49	2019
Modeling content creator incentives on algorithm-curated platforms J Hron, K Krauth, MI Jordan, N Kilbertus, S Dean ICLR 2023, 2023	37	2023
On component interactions in two-stage recommender systems J Hron, K Krauth, M Jordan, N Kilbertus NeurIPS, 2021	37	2021
Exact posterior distributions of wide Bayesian neural networks J Hron, Y Bahri, R Novak, J Pennington, J Sohl-Dickstein Uncertainty in Deep Learning (ICML workshop), 2020	32	2020
Sample-then-optimize posterior sampling for Bayesian linear models AGG Matthews, J Hron, RE Turner, Z Ghahramani Advances in Approximate Bayesian Inference (NeurIPS workshop), 2017	30	2017
Exploration in two-stage recommender systems J Hron, K Krauth, MI Jordan, N Kilbertus REVEAL (ACM RecSys workshop), 2020	13	2020
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling J Hron, R Novak, J Pennington, J Sohl-Dickstein ICML, 2022	8	2022
The progression of disparities within the criminal justice system: Differential enforcement and risk assessment instruments M Zilka, R Fogliato, J Hron, B Butcher, C Ashurst, A Weller Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023	6	2023
Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents B Butcher, M Zilka, J Hron, D Cook, A Weller ACM Journal on Responsible Computing 1 (2), 1-27, 2024	2	2024
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability J Hron, L Culp, G Elsayed, R Liu, B Adlam, M Bileschi, B Bohnet, ... arXiv preprint arXiv:2408.07852, 2024	1	2024
Beyond Use-Cases: A Participatory Approach to Envisioning Data Science in Law Enforcement C Kearney, J Hron, H Kosc, M Zilka The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1809-1826, 2024		2024

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