El hombre no está hecho para la derrota -se dijo el viejo pescador en medio de la lucha-. El hombre puede ser destruido, pero no derrotado. Ernest HeminwayJoined March 2011
Error Bounds for the Network Scale-Up Method | Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 dl.acm.org/doi/10.1145/37…
🧠 How can we monitor society without traditional, costly surveys?
📊 The Social Probing project, coordinated by IMDEA Networks, explored indirect surveys —a smart, privacy-respecting way to understand public opinion.
Learn more ⬇️networks.imdea.org/social-probing…
“This is what AI can (and can't) do in phenomena like DANA.” Check out the piece just published by National Geographic, featuring expert insights from the ISP coordinator Gustau Camps-Valls: nationalgeographic.com.es/ciencia/esto-e…
Floods are among the most widespread natural disasters. Here we describe our new flood forecasting model for state-of-the-art 7-day lead time prediction, expanded forecasts on ungauged watersheds for expert use, and a new reanalysis & re-forecast dataset. goo.gle/4hHDS9O
Many people are in the middle of the @CVPR deadline. So I'm sharing my guide to writing a CVPR paper (or any paper). My students have had this for years but I haven't shared it publicly before. I hope you find it useful and write a great paper. #CVPR2025medium.com/@black_51980/w…
Artículo aceptado en The American Statistician:
Performance Analysis of NSUM Estimators in Social-Network Topologies.
Está disponible en lnkd.in/dZaUciBU
El DOI será lnkd.in/dD42nye5
🎯 We're hiring 3 Research Engineers at IMDEA Networks!
🔹 AI for O-RAN
🔹 Distributed Systems, ML & Data Analysis
🔹 Network Measurements & Cybersecurity
Apply now ➡️ networks.imdea.org/job-opportunit…#Hiring
📢 Open postdoc position at ENS Lyon, working with me.
📷 Goal: develop new learning-based methods for large-scale computational imaging.
More info here:
tachella.github.io/assets/pdf/pos…
Brand new paper: COVID-19 Seroprevalence Estimation and Forecasting in the USA from Ensemble Machine Learning Models using a Stacking Strategy
doi.org/10.1016/j.eswa…
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