I'm hiring PhD students to join my group in the CS department at CU Boulder! 🏔️🦬 We work on statistical and geospatial machine learning, focusing on real-world problems 🌏 and fundamental advances in efficient and responsible ML methods 📈! Oct 10, 11MT: calendar.colorado.edu/event/esther_r…
Come join us at our spotlight 🤩 poster today at #ICLR2024 .
Konstantin Klemmer Robin Zbinden, and I will present it in Hall B #266 Wed 8 May 4:30 p.m. 6:30 p.m.
marcrusswurm.com/locationencode…
paper: openreview.net/forum?id=Puddu…
devistuia Esther Rolf
It is an honor to receive an #SDGdigital game changers award from Int’l Telecommunication Union for MOSAIKS -- our research project making satellite imagery + machine learning more accessible for all -- and its contribution to the United Nations sustainable development goals! (mosaiks.org)
We've added some new fns for obtaining satellite image and image sequence embeddings following Esther Rolf et al. These are also now incorporated in image de-confounding and heterogeneity fns. If ... github.com/cjerzak/causal…
Awesome event and discussion at: Harvard University Center for Research on Computation & Society Harvard CRCS - @[email protected] spring social, organized by postdocs Jessie Finocchiaro Naveena Karusala Esther Rolf !
It was an absolute pleasure to co-lead this work with w/ Hannah Kerner, and to develop it w/ Konstantin Klemmer and Caleb Robinson! Thank you to everyone whose innovative work inspired us and especially those who gave us feedback on these ideas.
In this paper w/ co-lead Esther Rolf & co-authors Konstantin Klemmer Caleb Robinson, we explain
🛰 the unique nature of SatML
👩🏼💻 why we need specialized SatML methods
🌍 how satellite data enriches core ML
🦾 & what the ML community can do to realize SatML's potential
arxiv.org/pdf/2402.01444…
New paper, led by Esther Rolf & Hannah Kerner and w/ Caleb Robinson. We argue that satellite data should be treated as a distinct modality in ML research. We outline challenges to make SatML work in the real world & how these enrich core ML research problems.🌏🛰️🤖
Read more 👇
Cool paper by Lily Xu Esther Rolf ... & Milind Tambe in arXiv.org synthesizing key points from a workshop on AI-Assisted Decision Making for Conservation. Food for thoughts. Collab bw ecologists, decision-makers & AI researchers key.
arxiv.org/abs/2307.08774
🗞️#322-2023
📺🌏 Konstantin Klemmer discusses SatCLIP on this episode of the satellite-image-deep-learning podcast by Robin Cole!
🗞 Featured in this week's newsletter:
✨ The latest from HDSI affiliates francesca dominici Matthew Baum Soroush Saghafian Ata Kiapour, PhD, MMSc Esther Rolf
✨ Events w/ the HDSI, Dana-Farber Data Science, Women in Data Science, + more
✨ Summer courses w/ CAUSALab
👉 Read now: mailchi.mp/harvard/datasc…
I had a great time speaking at Harvard CRCS - @[email protected] earlier this week and connecting with the #AIforConservation community there. Thanks Esther Rolf for hosting me!
I really enjoyed taking part in this workshop at Harvard CRCS - @[email protected] discussing how AI can play a role in conservation decision making. Thanks to Esther Rolf and Lily Xu for leading the discussion during the workshop and the summarization of lessons learned in this white paper!
from our super star and HDSI fellow Esther Rolf, congrats! Harvard Data Science Initiative
