Jeremias Sulam
@Jere_je_je
Assistant Professor @ BME Johns Hopkins 🇦🇷🇺🇸
And on #WomenInScience 's day, Zhenzhen's huge paper on biomaker discovery for breast cancer has just appeared in @Patterns_CP 🎉 Zhenhzen's work shows how to construct fully interpretable biomarkers employing bi-level graph learning. Check it out here! minds.jhu.edu/events/calenda……
Celebrating #WomeninScience #February11 Zhenzhen Wang, a #HopkinsBME PhD student co-advised by @Jere_je_je and Prof. Aleksander S. Popel, is developing scalable, data-efficient, and interpretable AI algorithms that enhance cancer diagnosis and treatment planning.
Do you care about multiaccuracy/multicalibration in ML? and are you concerned with accessing privileged information (like sensitive attributes) to evaluate or control for these? Then come by Beepul's poster today at #icml where he'll be presenting this work…
I’m at #ICML2025 this week presenting my work on multiaccuracy and multicalibration with proxy sensitive attributes. If you are interested, please come by poster E-1101 on Tuesday at 4:30 pm PST to learn more! @Jere_je_je @PaulYiMD icml.cc/virtual/2025/p…
Si estás pensando en organizar un evento sobre AI en LATAM, podés aplicar al programa KHIPUx para obtener financiamiento! Existen 2 tracks, A) Host a KHIPUx event B) Build with KHIPU Community Grants Para mas info: khipu.ai/khipux-about/k… Deadline: 30 de Junio!
KHIPU is more than a conference; it’s a vibrant community! With the spirit of collaboration at its core, we are proud to announce the launch of the second edition of the KHIPUx program, designed to expand this spirit across the heart of Latin America.
👏 Shout out to the amazing contributors behind this work: @BeepulBharti @AdwayKanhere @garin_SP @itsPranavK @vishwa_parekh @SamSantomartino @Jere_je_je A fantastic collaboration across institutions and disciplines! 🙌
New achievement unlocked - I’m so lucky to work with such amazing students!
Best part of coming to the west coast is the two breakfast in one day @CPALconf
CPAL 2025 program is officially live! cpal.cc/program_schedu… #CPAL2025
See our coverage of this cool work here! cs.jhu.edu/news/wanna-bet…
📢We all want to explain ML models, but what should these explanations convey, and how does one report these precisely and rigorously? @NeurIPSConf: come check @JacopoTeneggi's work on Testing for Explanations via betting this afternoon! I *bet* you'll like it :)…
Reminder the deadline to submit a Spotlight (non-archival) track submission to CPAL is TODAY!