Neerav

Yesterday, I successfully defended my PhD thesis "Guiding Deep Probabilistic Models". I have been so lucky to be advised by Tommi Jaakkola and to have the support of my thesis committee members: @samikaski and @phillip_isola. Defense slides: timgaripov.github.io/static/files/d…

@RisingSayak Very true. Good news though is that the number of vegan places is increasing fairly rapidly in western Europe in recent years. worldpopulationreview.com/country-rankin…

Hot take. Events in (most) countries outside of India aren’t at all inclusive for folks that don’t eat meat. Not a good example of inclusivity 😏 India, on the other hand, sure as hell knows how to feed others properly and respect their food choices.

Race to Nowhere.

The struggle is real. reddit.com/r/statistics/c…

Join us Friday 1/26 at 2pm ET for a virtual MLxMED Seminar "Expert load matters: operating networks at high accuracy and low manual effort" presented by Dr. @EnderKonukoglu @ETH_en @kbatmang @PittTweet @UofT Learn more: tinyurl.com/yb28vvka

@adad8m @michael_nielsen The story I told myself is that in 1D, we can make "spikes" with 3 ReLUs (stats.stackexchange.com/questions/5256…) similar to making "bumps" with 2 step functions. Everything else should work is the same way as in @michael_nielsen's book.

Really happy to have stumbled upon @michael_nielsen's fantastic visual proof of the universal approximation theorem - neuralnetworksanddeeplearning.com/chap4.html

If you are looking for an exciting PhD in a dynamic and vibrant city (Montreal), drop me an email with your CV and cover letter. Two positions opened: 1) uncertainty in large-foundation models for medical image analysis and 2) few-shot continual learning in multi-modal learning.

Me reading a paper.

@gokstudio Are data-hungry LLMs secretly snacking on web pages?

Surely I'm not searching for something unseen, right?

@schirmermd @NIHAging @NIH Congrats, Markus!

Just received the notification for my first #NIHgrant, ERIS! 🎉 ERIS (Effective Reserve In Stroke) will quantify patients' available (effective) brain reserve, a vital biomarker for personalized care and outcomes. #StrokeResearch #BrainHealth #R21 @NIHAging @NIH

In the LLM-science discussion, I see a common misconception that science is a thing you do and that writing about it is separate and can be automated. I’ve written over 300 scientific papers and can assure you that science writing can’t be separated from science doing. Why? 1/18

@mnwsth जैन आए

GenAI is pronounced

We’re releasing a new image similarity metric and dataset! --> DreamSim: a metric which outperforms LPIPS, CLIP, and DINO on similarity and retrieval tasks --> NIGHTS: a dataset of synthetic images with human similarity ratings paper+code+data: dreamsim-nights.github.io 1/n

I'm presenting this Thursday at #ISMRM23! Motion-Aware Neural Networks Improve Rigid Motion Correction Of Accelerated Segmented Multislice MRI Oral #1371, Thursday, 06/08 16:24 - 16:32, Room 701B Also viewable anytime as an AMPC Selection Poster in the main exhibition area.

📢2 PhD student positions in my group @CIBM_ch @FBM_UNIL @unil Opportunity funded to pursue impactful #machinelearning and #MRI research: domain-shifts #DL #pediatric #brain #low-field MRI quantitative mapping. #Interdisciplinary team, best project partners ever🤩! 🙏RT👇#hiring

Virtually every ML paper is a method comparison, where the authors almost always have a "horse in the race". This is bad for science. We need to diversify and embrace empirical studies that are not incentivized to push a particular narrative or make a specific method look good.

Excited to see @bayesianhealth on @Forbes AI 50! It’s been quite the year in AI with 100s/1000s of new ventures focusing in the space. Great to see other amazing peers and friends also recognized!