Chaopeng Shen

Streamflow datasets from the high-resolution, multiscale, differentiable HBV hydrologic models This dataset is from the high-resolution, multiscale, differentiable HBV hydrologic models, provided by the Multi-scale Hydrology, Processes, and Intelligence (MHPI) team from The Pennsylvania State U...

Please come and evaluate our continental-scale seamless streamflow simulation (1990-1999 more is being uploaded) using hybrid physics-informed machine learning ("differentiable") hydrologic model. Could be a blast!
zenodo.org/records/1429...
This comes with our preprint.
doi.org/10.22541/ess...

27.01.2025 20:35 — 👍 0    🔁 0    💬 0    📌 0

Not surprising some new forms of AI requires much less energy to train. Basically I think the form of the AI has not settled yet. There could be way more energy-efficient forms of AI down the road. Think about it. How much energy does a person's brain take to logically think and answer a question?

27.01.2025 18:30 — 👍 0    🔁 0    💬 0    📌 0

The Geometry of Flow: Advancing Predictions of River Geometry With Multi‐Model Machine Learning Machine Learning models outperform regional (physiographic) hydraulic geometry equations for predicting stream width and depth Model performance varies by stream orders and geographical regions, ...

doi.org/10.1029/2023...
CUAHSI summer institute product:
A random-forest model to predict river geometry (width and depth) of all river reaches in USA. Sagy Cohen and I advised the students (from other research groups) in summer 2022 over several weeks and the paper is out in 2024.

26.01.2025 14:49 — 👍 1    🔁 0    💬 0    📌 0

I was there this summer. Truly amazing. I wonder why the winds were so crazy and trees were so scarce!

25.01.2025 20:11 — 👍 3    🔁 0    💬 1    📌 0

Thanks Jeff!

25.01.2025 12:54 — 👍 1    🔁 0    💬 0    📌 0

This is our first foray into a generic AI conference. A paper with major implications! Can't wait to bring our unique perspectives to main AI. My student Abdol Mehdi is the first author. Difficulty level 9.0+.
#iclr2025 (ranks as 2nd AI conference!)
Also lots of thanks to the fair reviewers

22.01.2025 22:13 — 👍 0    🔁 0    💬 0    📌 0

I won't come here empty-handed. Our paper “Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems” has been accepted into ICLR 2025 main, a premier AI conference. Stay tuned for the paper --- will make some minimum edits for the camera-ready version!

22.01.2025 22:09 — 👍 2    🔁 2    💬 1    📌 0

My first post on Bluesky! Not easy for me to face a new platform and start from scratch, so any help from friends are appreciated!!

22.01.2025 22:00 — 👍 3    🔁 0    💬 0    📌 0