jan-matthis

In collaboration with HHMI Janelia & Harvard, we introduce ZAPBench, a whole-brain activity dataset and benchmark with single cell resolution of a larval zebrafish, which will enable development and comparison of more accurate brain activity models. →goo.gle/44rEpsn

Can we predict future brain activity in a small vertebrate?🤔 We're releasing ZAPBench⚡️(#ICLR2025 spotlight): a benchmark to forecast activity in a whole vertebrate brain🧠 at single-cell resolution!🐟 70k+ neurons, 3 TB of data & extensive baselines. Connectome is coming! 🧵👇

Happy to announce a Student Researcher opportunity in our team @GoogleDeepMind in Mountain View, California ☀️ If you’re excited about foundational research on controllability of visual/3D generative models, please consider applying: #student-researcher-program" target="_blank" rel="nofollow noopener">deepmind.google/about/careers/…

@ptrrupprecht @snsf_ch Congrats!

Announcement: I will start my own junior group (@snsf_ch Ambizione) in March 2023! There is an opening for a PhD student, co-supervised by myself and Fritjof Helmchen, to work with me in Zurich on a very exciting project: hifo.uzh.ch/en/research/he…

Introducing TensorStore, an open-source C++ and Python library designed for storage and manipulation of n-dimensional data, which can address key engineering challenges in scientific computing through better management and processing of large datasets. goo.gle/3Ly9e30

I joined Google's Connectomics team as a research scientist in May -- very excited about the opportunities ahead! 2/2

A few weeks ago, I defended my PhD! My thesis is now online: dx.doi.org/10.15496/publi… I am immensely grateful to @jakhmack, my fantastic co-authors, committee, and everyone who supported me on the way! 1/2

Simulation-based inference (SBI) has accelerated model-building across many disciplines. It’s also useful for studying cognition: We present Mixed Neural Likelihood Estimation, an SBI method tailored to models of decision-making! By @janfiete @janmatthis @_rdgao @jakhmack 1/5

You like GANs, SBI, and the 100-yr anniversary of Jay Gatsby staring at a green light across the Long Island bay? Check out “GATSBI:Generative Adversarial Training for SBI” accepted at ICLR 2022! With @pramesh95 @janmatthis @janfiete @alvorithm @dvdgbg @ppjgoncalves @jakhmack 1/6

🪂 Now available! Slides + notebooks for our ongoing #SBI2021 workshop - content by @deismic_, @alvorithm, @janfiete, @janmatthis, @dvdgbg, @ppjgoncalves, reviewing and much help by @alpiges and Stefan Wezel. @KyleCranmer @HeissenBergsUnc @glouppe @bkmi13 @ml4science @mackelab

Want to learn how to get more out of your simulator with machine learning? Apply now to become one of 20 participants of our 3-day, hands-on workshop on simulation-based inference! Sign up here! → events.hifis.net/event/167/ ←⏬

Pyro 1.7 is released: PyTorch 1.9, biological sequence models, streaming MCMC for big models, AutoStructured guide, reparametrizer initialization, 3 tutorials, 8 distributions. Thanks Eli Weinstein @vitaliikl @nning_ola @mt_sokol @kamathhrishi @ordabayevy github.com/pyro-ppl/pyro/…

@ogrisel @janfiete @dvdgbg @ppjgoncalves @jakhmack Thanks! Would be glad to chat more informally about this, just sent you a DM

@janmatthis @janfiete @dvdgbg @ppjgoncalves @jakhmack Alright, I already had a look at the paper and the very nice benchmark results website. I was looking forward for a more informal / casual analysis and your opinion on the current state of the art and limitations of SBI methods.

Attending #AISTATS2021? I'll be presenting "Benchmarking Simulation-Based Inference" today at 16:30 CEST, come stop by! Poster: virtual.aistats.org/virtual/2021/p… Paper: proceedings.mlr.press/v130/lueckmann… Website: sbi-benchmark.github.io Work with @janfiete, @dvdgbg, @ppjgoncalves and @jakhmack

@ogrisel @janfiete @dvdgbg @ppjgoncalves @jakhmack Thanks a lot for the interest! Just to be clear, I’ll be presenting the attached poster. We prepared a 3-minute video teaser, which I’ll put on sbi-benchmark.github.io after the conference. Glad about any questions and comments!

@janmatthis @janfiete @dvdgbg @ppjgoncalves @jakhmack Will the presentation be recorded and later published online for those who cannot attend the conference?

@Tkaraletsos :D same here!

@janmatthis I always enjoyed discussing those orations with you.

Almost what I said.. Found poetry in SlidesLive's automated captioning

The new and improved version of our review paper on normalizing flows is out! Now published in the Journal of Machine Learning Research @JmlrOrg jmlr.org/papers/v22/19-…

Multiple circuit settings of the🦞STG achieve the same network activity. But which of those⚙️ are energy efficient? Find out at #Cosyne21 Poster 3-027 (a+b, 2-4pm + 9-11pm CET) by @deismic_ @ppjgoncalves! youtu.be/YF1aAE7uqVQ The answer will surprise you. ↗️ promoted

Simulation-based inference algorithms are useful to identify parameters of simulators from data. But there are so many approaches - how do they compare? We made a benchmark! With @janmatthis @janfiete @dvdgbg @ppjgoncalves arxiv.org/abs/2101.04653 sbi-benchmark.github.io 1/n