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NCE, VAEs, GANs & even ABC…

May 14, 2021

As I was preparing my (new) lectures for a PhD short course “at” Warwick (meaning on Teams!), I read a few surveys and other papers on all these acronyms. It included the massive Guttmann and Hyvärinen 2012 NCE JMLR paper,  Goodfellow’s NIPS 2016 tutorial on GANs, and  Kingma and Welling 2019 introduction to VAEs. Which […]

simulation-based inference for neuroscience [One World ABC seminar]

April 26, 2021

The next One World ABC seminar will take place on Thursday at 11:30, UK time, and will broadcast a talk by Jakob Macke on Simulation-based inference for neuroscience. Here is the abstract Neuroscience research makes extensive use of mechanistic models of neural dynamics — these models are often implemented through numerical simulators, requiring the use […]

ABC in Svalbard [the day after]

April 19, 2021

The following and very kind email was sent to me the day after the workshop thanks once again to make the conference possible. It was full of interesting studies within a friendly environment, I really enjoyed it. I think it is not easy to make a comfortable and inspiring conference in a remote version and […]

ABC on brain networks

April 16, 2021

Research Gate sent me an automated email pointing out a recent paper citing some of our ABC papers. The paper is written by Timothy West et al., neuroscientists in the UK, comparing models of Parkinsonian circuit dynamics. Using SMC-ABC. One novelty is the update of the tolerance by a fixed difference, unless the acceptance rate […]

the new DIYABC-RF

April 15, 2021

My friends and co-authors from Montpellier have released last month the third version of the DIYABC software, DIYABC-RF, which includes and promotes the use of random forests for parameter inference and model selection, in connection with Louis Raynal’s thesis. Intended as the earlier versions of DIYABC for population genetic applications. Bienvenue!!! The software DIYABC Random […]