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Incredibly fun work on exploring interpretability approaches with our Foundation Model - PLUTO. Presenting at #ICML2024, please engage with our poster!
Yesterday, a team of PathAI scientists published “Interpretability analysis on a pathology #foundationmodel reveals biologically relevant embeddings across modalities.” 📰Read the preprint here: arxiv.org/abs/2407.10785 #pathology #PathTwitter #AI #deeplearning
Heading to @CVPR this week. Would love to connect over coffee - feel free to DM me to coordinate. #CVPR2024 #CVPR
Very nice use of the FlexiViT idea for pathology images:
Today we released PLUTO - a scalable Foundation Model for pathology images. Some highlights from training this model (1/n):
Today we released PLUTO - a scalable Foundation Model for pathology images. Some highlights from training this model (1/n):
#FoundationModels usher in a new era of #MachineLearning & allows the development of new AI products that can handle diverse tasks with exceptional performance. PLUTO was trained using self-supervision & can be adapted to handle a range of pathology tasks at different scales
Introducing PLUTO, an #AI foundation model developed for #ComputationalPathology. Multi-resolution custom training architecture, diverse high-quality data, and inference efficiency boosts performance to extract meaningful insights for #PrecisionMedicine. pathai.com/resources/path…
We’re proud to announce the launch of PathExplore, which will empower #oncology #drugdevelopers with unprecedented tumor microenvironment spatial characterization from H&E, propelling a new phase in #precisionmedicine. rb.gy/5k9rz #AI #pathology
Excited to share SC-MIL (Supervised Contrastive Multiple Instance Learning), a technique to address label imbalance in pathology. Work done with @SiddhantShingi Ashar Javed @harshith2794 @_chnsh_ @AnandSampat Archit Khosla @jxhnabel @amarotaylorw arxiv.org/abs/2303.13405 (1/7)
Reckless to say the least. Maddening to those of us who spent a year trying to educate the public and leaders on the importance of masks. theatlantic.com/politics/archi… @LisaBRochester @TheAtlantic @jeremyphoward
Work led by @_chnsh_ @nimatabari, with awesome collaborators @net_science @mattk7 @alexvespi @barabasi
We establish theoretical limits for source identification in epidemic models, with empirical analysis on various dynamics including COVID-19.
Latest out. "Finding Patient Zero: Learning Contagion Source with Graph Neural Networks". Great collaboration with @_chnsh_ @nimatabari @mattk7 @barabasi @alexvespi @yuqirose arxiv.org/abs/2006.11913
Latest out. "Finding Patient Zero: Learning Contagion Source with Graph Neural Networks". Great collaboration with @_chnsh_ @nimatabari @mattk7 @barabasi @alexvespi @yuqirose arxiv.org/abs/2006.11913
Thanks to @KhouryCollege for the nice article! We are also using #Physics-Guided #AI to model #COVID19 dynamics. khoury.northeastern.edu/general/rose-y…
Have been on the phone with friends and family all over India. They went from not caring and celebrating Holi (the festival of colors) to a lock down in 1 week! The worrisome things I learnt:
A lasting coronavirus vaccine is more likely since the virus is mutating slowly, scientists say twitter.com/i/events/12425…
I think most people aren’t aware of the risk of systemic healthcare failure due to #COVID19 because they simply haven’t run the numbers yet. Let’s talk math. 1/n
✌Two new competitions! 💰$100,000 total prize money! Estimate the uncertainty distribution of Walmart unit sales and/or the unit sales of their retail goods in our 5th annual M5 Forecasting competitions, and you could win big! 👉ow.ly/X7YN50yB5pJ
After high school, I ended up working odd jobs, e.g., as a night shift cleaner at a fast-food restaurant. One especially nasty night, I decided that I had to at least try to get more out of my life and began self-studying coding every free minute I had, up to 20 hrs/day. 1/5
“On the Discrepancy between Density Estimation and Sequence Generation” arxiv.org/pdf/2002.07233… Seq2seq models are optimized w.r.t log-likelihood. We investigate the correlation btw. LL and generation quality on machine translation. w/ @dustinvtran, @orf_bnw, @kchonyc (1/n)
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