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Genome-wide modelling of transcription kinetics reveals patterns of RNA production delays
Antti Honkela
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Antti Honkela (University of Helsinki)
More from the Same Authors
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2021 : Differentially Private Hamiltonian Monte Carlo »
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2021 : Tight Accounting in the Shuffle Model of Differential Privacy »
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2022 : Individual Privacy Accounting with Gaussian Differential Privacy »
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2023 Competition: NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA »
Dimosthenis Karatzas · Rubèn Tito · Lei Kang · Mohamed Ali Souibgui · Khanh Nguyen · Raouf Kerkouche · Kangsoo Jung · Marlon Tobaben · Joonas Jälkö · Vincent Poulain d'Andecy · Aurélie JOSEPH · Ernest Valveny · Josep Llados · Antti Honkela · Mario Fritz -
2022 : Noise-Aware Statistical Inference with Differentially Private Synthetic Data »
Ossi Räisä · Joonas Jälkö · Antti Honkela · Samuel Kaski -
2021 Workshop: Privacy in Machine Learning (PriML) 2021 »
Yu-Xiang Wang · Borja Balle · Giovanni Cherubin · Kamalika Chaudhuri · Antti Honkela · Jonathan Lebensold · Casey Meehan · Mi Jung Park · Adrian Weller · Yuqing Zhu -
2020 Workshop: Privacy Preserving Machine Learning - PriML and PPML Joint Edition »
Borja Balle · James Bell · Aurélien Bellet · Kamalika Chaudhuri · Adria Gascon · Antti Honkela · Antti Koskela · Casey Meehan · Olga Ohrimenko · Mi Jung Park · Mariana Raykova · Mary Anne Smart · Yu-Xiang Wang · Adrian Weller -
2019 Workshop: Privacy in Machine Learning (PriML) »
Borja Balle · Kamalika Chaudhuri · Antti Honkela · Antti Koskela · Casey Meehan · Mi Jung Park · Mary Anne Smart · Mary Anne Smart · Adrian Weller -
2019 Poster: Differentially Private Markov Chain Monte Carlo »
Mikko Heikkilä · Joonas Jälkö · Onur Dikmen · Antti Honkela -
2019 Spotlight: Differentially Private Markov Chain Monte Carlo »
Mikko Heikkilä · Joonas Jälkö · Onur Dikmen · Antti Honkela -
2018 Workshop: Machine Learning Open Source Software 2018: Sustainable communities »
Heiko Strathmann · Viktor Gal · Ryan Curtin · Antti Honkela · Sergey Lisitsyn · Cheng Soon Ong -
2017 : Invited talk: Differential privacy and Bayesian learning »
Antti Honkela -
2017 Poster: Differentially private Bayesian learning on distributed data »
Mikko Heikkilä · Eemil Lagerspetz · Samuel Kaski · Kana Shimizu · Sasu Tarkoma · Antti Honkela -
2013 Workshop: Machine Learning Open Source Software: Towards Open Workflows »
Antti Honkela · Cheng Soon Ong