Machine Learning in Science
@mackelab
We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not tweeted by @jakhmack.
We are looking to hire multiple PhD students on (1) deep learning for mechanistic models of neural computation, (2) simulation-based Bayesian inference, (3) ML for clinical neuroscience. Reach out if you are excited about these topics! Details here: mackelab.org/media/Ad_Macke…
Researching #AI #ComputerVision #MachineLearning #Robotics #HCI? Join our elite doctoral program - a partnership with MPI-IS, @uni_stuttgart & @uni_tue! Applications accepted until Nov 15, 2024 at imprs.is.mpg.de/application
Talk to @guymoss13 and Julius Vetter about sourcerer at #Neurips2024 today! 📍Poster #4006 (East; 11 am PT)
Julius Vetter (on Bluesky) and I are excited to present our work at #Neurips2024! We present Sourcerer: a maximum-entropy, sample-based solution to source distribution estimation. Paper: openreview.net/forum?id=0cgDD… Code: github.com/mackelab/sourc… (1/8)
1) With our @NeurIPSConf poster happening tomorrow, it's about time to introduce our Spotlight paper 🔦, co-lead with @_Jaivardhan_ : Latent Diffusion for Neural Spiking data (LDNS), a latent variable model (LVM) which addresses 3 goals simultaneously:
How to find all fixed points in piece-wise linear recurrent neural networks (RNNs)? A short thread 🧵 In RNNs with N units with ReLU(x-b) activations the phase space is partioned in 2^N regions by hyperplanes at x=b 1/7
Want to stay up-to-date with exciting #ml4science #ai4science research happening in our lab? Come have a look at @mackelab.bsky.social :).
Welcome Daniel (@danigedon) to our lab! In his PhD he focussed on time series and low-dimensional representations, and now he will work on model discovery for time series. Outside the lab he's active from biking, to hiking or yoga-ing. Glad to have you join!
Recently I defended my PhD thesis 🤓 While my face barely hides my thoughts on some questions, we had a blast celebrating later 🥳🎉 Now I am enjoying Swedish summer ☀️🇸🇪 and in September, I will join @mackelab at @uni_tue as PostDoc to continue with more fun research! 🇩🇪
there is still time for you to make some really good-looking—and state-dependent!—fake LFP or EEG data to up the chances for your Cosyne submission! * * that was (obviously) a joke: Cosyne does not condone the use of LFP or EEG data.
Want a tool that uses ML to generate REALLY good fake brain recordings? You're getting one. Julius' paper on diffusion models for brain data is published! Works with all kinds of densely sampled, multichannel continuous signals (LFP, EEG, etc.) cell.com/patterns/fullt…