Posts in 'science' – Page 2

Comparing distributions: Kernels estimate good representations, l1 distances give good tests

Note

Given two set of observations, are they drawn from the same distribution? Our paper Comparing distributions: l1 geometry improves kernel two-sample testing at the NeurIPS 2019 conference revisits this classic statistical problem known as “two-sample testing”.

This post explains the context and the paper with a bit of hand …

2018: my scientific year in review

From a scientific perspective, 2018 [1] was once again extremely exciting thank to awesome collaborators (at Inria, with DirtyData, and our local scikit-learn team). Rather than going over everything that we did in 2018, I would like to give a few highlights: We published major work using machine learning to …

Our research in 2017: personal scientific highlights

In my opinion the scientific highlights of 2017 for my team were on multivariate predictive analysis for brain imaging: a brain decoder more efficient and faster than alternatives, improvement clinical predictions by predicting jointly multiple traits of subjects, decoding based on the raw time-series of brain activity, and a personnal …

Our research in 2016: personal scientific highlights

Year 2016 has been productive for science in my team. Here are some personal highlights: bridging artificial intelligence tools to human cognition, markers of neuropsychiatric conditions from brain activity at rest, algorithmic speedups for matrix factorization on huge datasets…


Artificial-intelligence convolutional networks map well the human visual system

Eickenberg et …

Job offer: data crunching brain functional connectivity for biomarkers

My research group is looking to fill a post-doc position on learning biomarkers from functional connectivity.

Scientific context

The challenge is to use resting-state fMRI at the level of a population to understand how intrinsic functional connectivity captures pathologies and other cognitive phenotypes. Rest fMRI is a promising tool for …

Publishing scientific software matters

Christophe Pradal, Hans Peter Langtangen, and myself recently edited a version of the Journal of Computational Science on scientific software, in particular those written in Python. We wrote an editorial defending writing and publishing open source scientific software that I wish to summarize here. The full text preprint is openly …

The problems of low statistical power and publication bias

Lately, I have been a mood of scientific scepticism: I have the feeling that the worldwide academic system is more and more failing to produce useful research. Christophe Lalanne’s twitter feed lead me to an interesting article in a non-mainstream journal: A farewell to Bonferroni: the problems of low …

Conference posters

At the request of a friend, I am putting up some of the posters that I recently presented at conferences.

Large-scale functional-connectivity graphical models for individual subjects using population prior.

This is a poster for our NIPS work

PDF


Multi-subject dictionary learning to segment an atlas of brain spontaneous activity …

My conference travels: Scipy 2011 and HBM 2011

The Scipy 2011 conference in Austin

Last week, I was at the Scipy conference in Austin. It was really great to see old friends, and Austin is such a nice place.

The Scipy conference was held in UT Austin’s conference center, which is a fantastic venue. This is the …

Research jobs in France: the black humor of 2010 is the reality of 2011

The French basic research landscape is dominated by a few nationwide institute, similar to the NIST or the NIH in the US. The largest of these is the CNRS (Centre National de la Recherche Scientific). Getting a tenured job in one of those institutes enables someone to focus on basic …