What drives innovation in machine learning?
In a new paper, we argue that application-driven work is systemically under-valued in the machine learning community, but that it's essential for both innovation and impact.
arxiv.org/abs/2403.17381
1/3
ALT A figure with two columns. Under "Methods-driven ML" are the attributes "stereotyped benchmarks", "narrow set of evaluation metrics", "massive datasets", and "problem-agnostic methods". Under "Application-driven-ML" are the attributes "real-world tasks", "application-specific evaluation metrics", "auxiliary domain knowledge", and "use-inspired methods".
Known for shedding light on the AI model, XAI has the potential to unveil new knowledge for applications in climate science – but which of the many XAI methods can we trust and should we choose?
See our preprint
arxiv.org/pdf/2303.00652.pdf@TUBerlin_UMI with @Marlene_Climate
It's been almost ~5yrs since I returned to India after 15yrs in the US. I've written about it before but here is my story 5yrs later. It's been a ride & frankly one of my life's best decisions! If you are considering a move back to India, hope this helps:
medium.com/@MohapatraHemant/…
Continuing the conversation on forest carbon credits quality, @PachamaInc just published a Research Brief, outlining our tech-driven approach to computing robust algorithmic baselines with validated uncertainty for avoided deforestation crediting.
pachama.com/blog/pachama-res…
Super excited to present (albeit virtually) our @manpa_97 work on Mapping Biogeophysical Parameters Using Satellite Data and Geospatial Technologies at #AGU22. Drop by to hear me talk about it on Wed 14 at 20:55!
@theAGU@ClimateResearch@HariniNagendra
What an inspiring and exciting day it was at Slush 2022! Hearing about startups solving a wide range of problems from hyperspectral remote sensing to climate-friendly neo banks, kudos to the @SlushHQ team! #slush2022
In 2018, three colleagues and I published a front-cover paper in @PNASNews
It has > 170 citations as of 2022, and it was a success that might not have happened:
• We had $0 budget
• We had no PI (Principal Investigator)
• We had no credentials
[Here's how we did it] 🧵
Preprint: I am trying to publish my first, single author article🥳
"Explainable Artificial Intelligence and Interpretable Machine Learning for Agricultural Data Analysis"
ssrn.com/abstract=4230874
Does anyone know of open options for sharing an apartment in Hamburg? (no luck on WG-Gesucht yet) Preferably women WG around Eimsbüttel/Altona/Barmbek region or within 1hr via public transport from @unihh
I'm moving from India to start my master's in climate science @SICSSUHH🌍