
Archive for group picture
ISBA Satellite Meeting 2026 [overview]
Posted in pictures, Statistics, Travel, University life with tags conference, group picture, Institute of Statistical Mathematics, ISM, Japan, MCMC, Monte Carlo methods, poster session, privacy, Tachikawa, Tokyo, workshop on July 30, 2026 by xi'an
many folks for manifolds [computational methods for probability distributions on manifolds workshop]
Posted in pictures, Travel, University life with tags bootstrap, experimental design, France, generative model, Gromov-Wasserstein, group picture, IHP, Institut Henri Poincaré, inverse problems, kernel Stein discrepancy descent, manifold, manifold exploration, MCMC, mixture models, Paris, workshop on May 27, 2026 by xi'an
Houcheanographers!
Posted in pictures, Travel, University life with tags Aiguille du Midi, Bayesian privacy, Chamonix-Mont-Blanc, differential privacy, ERC Synergy Grant, French Alps, group picture, Les Houches, Mont Blanc, Mont Blanc du Tacul, Ocean, Pays du Mont-Blanc, winter light, workshop on February 22, 2025 by xi'an
more than mostly MC
Posted in Kids, pictures, Statistics, Travel, University life with tags casino, cross-entropy method, diffusion sampler, EDF, Gaussian mixture, group picture, importance sampling, modes of a mixture, Monaco, Monte Carlo, Monte-Carlo casino, multimodality, nuclear energy, nuclear plant, ODE, Paris, PariSanté campus, PDEs, PDMP, piecewise deterministic, rare events, SDEs, simulated annealing on December 27, 2024 by xi'an
The session of last Friday (and last one of 2024!) proved most interesting, with two (fully) Monte Carlo talks. The first one by Louis Grenioux was about an improvement on diffusion sampler, following a recent arXival by Maxime Noble and co-authors. Which brought me back to the long-standing multimodal challenge in Monte Carlo methods. When all modes of a target distribution are known, even roughly, this is not much of an issue since samplers can be arm-bent into visiting all these modes. But the problem becomes much harder when the location and a fortiori the number of modes are not known. The paper aims at adapting diffusion samplers towards a better exploration of the modes, albeit their location is known. Otherwise, using MCMC as a starting (reference) distribution would risk missing some of them. Which also explains why the authors can rely on the classical Gaussian mixtures proposal as a cheap substitute to neural networks (EBM). Since, within diffusion models, both intermediary distributions and their scores are intractable, they also introduce a variational parametric approximation that can be optimised.
The second talk was given by Guillaume Chennetier, in connection with his recent PhD thesis, developing a form of X-entropy sampling for rare events. As in nuclear plant major accidents. It took me a while to realise that PDMPs were not used as a simulation tool, as in the zigzag sampler and its avatars, The proposal involved creating a graph structure on the space of PDMP trajectories and designing the optimal importance process (yes, the one with zero variance!) using so-called committor functions that modify jump intensity and kernel, in a sequential way reminiscent of X-entropy. The approach recycles past trajectories as Monte Carlo elements if missing an adaptive mixture importance sampling (AMIS!) version that would bring more stability. The talk also included an interesting pointer to the availability of the distribution of the PDMP path, thus treated as a likelihood. (!). The signage at the entrance of the Monte-Carlo (mind the hyphen!) casino also made an appearance, reminding me of our memorable group picture on the same spot, eons ago! (But not of whom took the picture!)
[not so] hostile takeover on my Nature issue
Posted in Books, pictures, Travel, University life with tags AF beer, AI scare, AlphaFold, alternative meat, black holes, book review, bread, buckwheat, Caspian sea, CHANCE, chili pepper, cultivated meat, curry, English beer, flight mode, foie gras, fruit fly, group picture, Internet, internet security, Montréal, Nature, Nobel Prize, origin of bread, Parasite, rye bread, Singapore, solar system, wasps on November 29, 2024 by xi'anWhen flying to Montréal last week, I took with me this 16 September issue of Nature but forgot it in the plane. But had time to read a tribune warning on the dangers of governments being involved in running the Internet. And thus disrupting its decentralised structure… And a short highlight on the (minimal) impact of atom-sized, asteroid-mass black holes crossing the Solar System, awakening me to the very existence of such stellar objects! And remained skeptical at the proposal to downsize pint glasses to lower beer consumption in the UK. (Although I now find myself unable to drink a whole pint of beer, outside eating a fiery curry! Or an alcohol free version.) And read how NobAIl Prize winning Alphafold2 unfolded a structure common to a family of flavivirus that make them relative with a common ancestor. And a book review pondering whether or not AI can feel distress, pondering at their sentience. (The book is freely available on OUP webpage.) Unlikely to be re-reviewed for CHANCE! And a fairly interesting long comment on how some Asian nations are massively investing into alternative approaches to meat production. (In particular since mentioning Singapore, where the company employing one of my nephews is soon to introduce in-vitro foie gras.) But missed the research paper on the origin and evolution of the bread wheat D genome, which I would have most certainly devoured, despite my favouring rye and buckwheat breads! (No bread was hurt in the study, since the 60 wheat landraces analysed therein came from the CIMMYT and ICARDA gene banks.) The origin is thus most likely on the “southern shores of the Caspian Sea 8,000–11,000 years ago”. Which sounds quite recent, all things considered!
