Frederik Kratzert

@kratzert.bsky.social

Research Scientist @ Google Research. Working on the intersection of machine learning and hydrology. Located in Vienna, Austria.

If only a learning from the current situation would be to force push towards electrifying the grit and expanding renewables...something we could have learned already from the Russian invasion into Ukraine. But not in this country...

xLSTM Distillation: arxiv.org/abs/2603.15590 Near-lossless distillation of quadratic Transformer LLMs into linear-time xLSTM architectures enables cost- and energy-efficient alternatives without sacrificing performance. Efficient xLSTM variants of instruction-tuned Llama, Qwen, and Olmo models.

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Excited to announce Groundsource - an open-source dataset of historic flood events! This has easily been one of the coolest projects I've worked on recently! Thread 🧵 for details and all relevant links. 1/n

A worldmap of the spatial distribution of extracted flood events in the Groundsource dataset. The map displays the total number of flood events extracted by the LLM-based pipeline aggregated per grid cell. The data are visualized using a Robinson projection, with event counts represented by a logarithmic color scale. Red points indicate the spatial centroids of reference flood events from the GDACS database.

Interesting read and something I have been thinking about recently. How fit is our education system for the new era and what does this mean for _learning_ (especially learning to learn), if students/pupils over rely on LLMs. What does this mean for my kids (2nd grade and kindergarten)...?

C. Thi Nguyen@add-hawk.bsky.social · 6mo ago

Last term I tried an experiment: I walked into my Tech and Design Ethics class, admitted that I had *no idea* what to do about ChatGPT - so I would let them figure it out. As in: their first project was to decide and write the ChatGPT policy for the class. Here's what happened:

Some updates on NeuralHydrology and I'll also use this opportunity to give a shout-out to @gauchm.bsky.social for his continuous support and maintenance of NH

Martin Gauch@gauchm.bsky.social · 7mo ago

New #NeuralHydrology release 🎉 Some news from v1.13.0: * CAMELS-IND & CAMELS-DE support * AORC hourly forcing support * xLSTM supportSupport for embedding layers in MTS-LSTMs ...and various other improvements and fixes. The full release notes: github.com/neuralhydrol... Thanks to all contributors!

Are you working in large-sample hydrology? If so, we invite you to submit an abstract to our session for EGU 2026: HS2.4.2 "Large-Sample Hydrology: Advancing dataset developments, enhancing process understanding, and unifying insights through catchment modeling"

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Hydrology Paper of the Day @kratzert.bsky.social on integrating water quality observations into the Caravan dataset: the need for proper metadata and processing of observations; a new river network with water quality stations; catchment delineation; and validation and flagging of suspect data.

Frederik Kratzert@kratzert.bsky.social · 8mo ago

📦 Full Data: doi.org/10.24416/UU0... 📂 Lite (CSV): zenodo.org/records/1778... 💻 Code: github.com/SustainableW... 📖Preprint: eartharxiv.org/repository/v... #OpenScience #Hydrology #WaterQuality

the success of the user-created For You feed while the official Discover feed flops is actually a pretty major win for Bluesky — it literally is the embodiment of their goal to decentralize feed generation and give users more control/autonomy

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Excited to unveil Caravan-Qual! 🌊 We've expanded the Caravan framework to bridge the gap between water quantity and quality. This new open dataset features: 🔹 ~70M observations 🔹137k stations 🔹 100 constituents 🔹 Linked streamflow, forcing & attributes Links in 🧵

A world map with red and blue dots. Each dot denotes a water quality measurement station that is included in Caravan-Qual. Red dots are stations with additional streamflow observations. Blue dots are stations without streamflow observations.

It is so wild how all academics seem to have decided that LinkedIn is the new platform. Essentially the same announcement receives 100x the engagement.. On a job market platform. In the good old days of Twitter, this was different and it's kinda sad that not more researchers decided to join BlueSky

Frederik Kratzert@kratzert.bsky.social · 8mo ago

Excited to unveil Caravan-Qual! 🌊 We've expanded the Caravan framework to bridge the gap between water quantity and quality. This new open dataset features: 🔹 ~70M observations 🔹137k stations 🔹 100 constituents 🔹 Linked streamflow, forcing & attributes Links in 🧵

A world map with red and blue dots. Each dot denotes a water quality measurement station that is included in Caravan-Qual. Red dots are stations with additional streamflow observations. Blue dots are stations without streamflow observations.

Excited to unveil Caravan-Qual! 🌊 We've expanded the Caravan framework to bridge the gap between water quantity and quality. This new open dataset features: 🔹 ~70M observations 🔹137k stations 🔹 100 constituents 🔹 Linked streamflow, forcing & attributes Links in 🧵

A world map with red and blue dots. Each dot denotes a water quality measurement station that is included in Caravan-Qual. Red dots are stations with additional streamflow observations. Blue dots are stations without streamflow observations.

What do people do when their taxi driver is a) speeding like crazy and b) interacting with his phone all the time while driving. Not sure if I'm unlucky but this happens 4/5 times to me when taking the airport taxi back home...