Ilan Shomorony (@ilanshom) 's Twitter Profile
Ilan Shomorony

@ilanshom

Assistant prof of ECE at UIUC. Interested in information theory, bioinformatics, and data science

ID: 263469535

calendar_today10-03-2011 03:02:51

43 Tweet

124 Followers

87 Following

bioRxiv (@biorxivpreprint) 's Twitter Profile Photo

Unsupervised integration of multimodal dataset identifies novel signatures of health and disease biorxiv.org/cgi/content/sh… #bioRxiv

Jesse Zhang (@jessemzhang) 's Twitter Profile Photo

Our new preprint on some pitfalls of single-cell clustering! Clustering algorithms force separation, and hence post-clustering differential expression analysis on the same dataset generates artificially low p-values Govinda Kamath David Tse biorxiv.org/content/early/…

Our new preprint on some pitfalls of single-cell clustering! Clustering algorithms force separation, and hence post-clustering differential expression analysis on the same dataset generates artificially low p-values <a href="/KamathGovinda/">Govinda Kamath</a> <a href="/dntse/">David Tse</a>

biorxiv.org/content/early/…
bioRxiv (@biorxivpreprint) 's Twitter Profile Photo

Spectral Jaccard Similarity: A new approach to estimating pairwise sequence alignments biorxiv.org/cgi/content/sh… #bioRxiv

Govinda Kamath (@govikamath) 's Twitter Profile Photo

Delighted to say that my work with Tavor Baharav and Ilan Shomorony on sequence alignment through a spectral algorithm has been accepted into @recomb2020 dx.doi.org/10.1101/800581

Martin Jinye Zhang (@martinjzhang) 's Twitter Profile Photo

Our recent work, Bandit-PAM, was accepted to NeurIPS! It utilizes adaptive sampling to make PAM, one of the most popular k-medoids clustering algorithm, orders of magnitude faster. Great collaboration with Mo Tiwari James Mayclin Sebastian Thrun Chris Piech Ilan Shomorony

Our recent work, Bandit-PAM, was accepted to NeurIPS! It utilizes adaptive sampling to make PAM, one of the most popular k-medoids clustering algorithm, orders of magnitude faster. Great collaboration with <a href="/mo_tiwari/">Mo Tiwari</a> James Mayclin <a href="/SebastianThrun/">Sebastian Thrun</a> <a href="/chrispiech/">Chris Piech</a> <a href="/ilanshom/">Ilan Shomorony</a>
Govinda Kamath (@govikamath) 's Twitter Profile Photo

A recent paper with Ilan Shomorony on doing a rate-distortion analysis of min-hashing. We were a bit surprised it had not been done till now. arxiv.org/abs/2107.04202

Illinois ECE (@eceillinois) 's Twitter Profile Photo

Illinois ECE Asst. Prof. Ilan Shomorony (Ilan Shomorony) earns prestigious U.S. National Science Foundation CAREER Award to better understand genomic data problems Learn more 🔗 ece.illinois.edu/newsroom/news/…

Illinois ECE Asst. Prof. Ilan Shomorony (<a href="/ilanshom/">Ilan Shomorony</a>) earns prestigious <a href="/NSF/">U.S. National Science Foundation</a> CAREER Award to better understand genomic data problems

Learn more 🔗 ece.illinois.edu/newsroom/news/…
Ilan Shomorony (@ilanshom) 's Twitter Profile Photo

Join us for the 6th Health Data Analytics Summit! "Generative AI: A Promising Catalyst for Healthcare?" Wednesday, April 5, 8:45am to 3pm (CT) More information and registration here: healtheng.illinois.edu/healthdatasumm…

Join us for the 6th Health Data Analytics Summit!
"Generative AI: A Promising Catalyst for Healthcare?"
Wednesday, April 5, 8:45am to 3pm (CT)
More information and registration here: healtheng.illinois.edu/healthdatasumm…
Mo Tiwari (@mo_tiwari) 's Twitter Profile Photo

Want something better than k-means? I'm happy to announce our SOTA k-medoids algorithm from NeurIPS 2020, BanditPAM, is now publicly available in Python, R, and C++! `pip install banditpam` or `install.packages("banditpam")` and you're good to go! 1/n

Mo Tiwari (@mo_tiwari) 's Twitter Profile Photo

Thrilled that a paper from my PhD, "Faster Maximum Inner Product Search in High Dimensions" has been accepted to ICML 2024! In the paper, we accelerate state-of-the-art for the Maximum Inner Product Search (MIPS) problem. MIPS is a core subroutine in systems like recommendation

Thrilled that a paper from my PhD, "Faster Maximum Inner Product Search in High Dimensions" has been accepted to ICML 2024!

In the paper, we accelerate state-of-the-art for the Maximum Inner Product Search (MIPS) problem. MIPS is a core subroutine in systems like recommendation