🌟 Join our Team in Berlin 🌟 We are seeking highly motivated PhD students to work on (efficient) Deep Learning, preferably with strong math/CS background and PyTorch experience. Happy to answer questions here, via DM or at #icml2024! Apply at iol.zib.de/openings! Please RT

Happy to present our work at #ICML24 in Vienna with Jan Pauls! Join us at poster #412 on Tuesday from 11:30-13:00. See you there! icml.cc/virtual/2024/p…

A good time to share our #ICLR2023 paper: How I Learned to Stop Worrying and Love Retraining We explore sparsity-adaptive LR schedules and show that with proper LR care, simple pruning can outperform complex methods that 'learn' the sparsity. 📜 arxiv.org/abs/2111.00843 🧵1/n

arXiv -> alphaXiv Students at Stanford have built alphaXiv, an open discussion forum for arXiv papers. alphaXiv You can post questions and comments directly on top of any arXiv paper by changing arXiv to alphaXiv in any URL!

We are looking for a motivated PhD candidate @lsce @inrae JP WIGNERON with interest in deep learning and foundational models for mapping forest attributes in African dense forests using satellite data Please join your team ! Link and how to apply ⤵️ lc.cx/Rnp9wf

Please check our new pre-print with a Foundational Model base on contrastive learning that can map tree height, land cover, GEDI LiDAR waveforms using multimodal satellite data arxiv.org/abs/2502.17066

Now with a blogpost (and the first one on my website!): maxzimmer.org/blog/2025/esti…

Our #AI4Science paper "Capturing Temporal Dynamics in Canopy Tree Height" is accepted at #ICML2025! We present the first 10m temporal map for Europe (2019-22), improving tall tree estimation & tracking change. Blog: maxzimmer.org/blog/2025/capt… Paper: arxiv.org/abs/2501.19328 🧵 1/7