research scientist @quantco | ML for healthcare
Zurich
Joined August 2019
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Neerav retweeted
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/…
Neerav retweeted
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
Really happy to have stumbled upon @michael_nielsen's fantastic visual proof of the universal approximation theorem - neuralnetworksanddeeplearnin…
Neerav retweeted
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.
Neerav retweeted
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
Neerav retweeted
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
Neerav retweeted
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.
Neerav retweeted
📢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
Neerav retweeted
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.
Neerav retweeted
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!
Neerav retweeted
I know academics tend to complain about teaching and grant writing. But, I can’t imagine better incentives for organizing one’s thoughts and learning new material.
Neerav retweeted
7. Reviewing
99.9% of academics learn reviewing on their own. Some become great reviewers. Reviewing skills:
Lepak, D. 2009. Editor's comments: What is good reviewing? Academy of Management Review, 34: 375-381.
jstor.org/stable/27760009#me…
Neerav retweeted
It is with great pleasure that we share the news that Dr. Tianfei Zhou from our lab and his colleagues has won the prestigious Elsevier-MedAI Prize at MICCAI this year for their paper on interactive segmentation. Well deserved and big congratulations to you! #MICCAI2022
Neerav retweeted
Congratulations to Katarina Tothova and colleagues for winning the UNSURE2022 best paper award with their work on quantification of predictive uncertainty via inference time sampling! 🎉 @bmic_eth
Neerav retweeted
We're hosting a free virtual workshop on fairness in medical imaging!
🚨 Are you interested in Fairness of Artificial Intelligence for Medical Imaging?
Don't miss our virtual workshop next ** 5th October **
Register now. FAIMI is free and open to everyone!
Link 👉 faimi-workshop.github.io/202…
