Philine Lou Bommer
@philinelb.bsky.social
PhD - interpretability X climate science @TUBerlin @ATBPotsdam
I’m thrilled to be co-convening a session at #EGU2026 focused on forecast verification of AI-based weather models 🌦️
If your research bridges AI weather forecasts + XAI/statistical verification don’t hesitate to submit: meetingorganizer.copernicus.org/EGU26/sessio...
🌍 #verification #AIweather #EGU26
If your research bridges AI weather forecasts + XAI/statistical verification don’t hesitate to submit: meetingorganizer.copernicus.org/EGU26/sessio...
🌍 #verification #AIweather #EGU26
Session NP5.2
meetingorganizer.copernicus.org
November 3, 2025 at 3:36 PM
I’m thrilled to be co-convening a session at #EGU2026 focused on forecast verification of AI-based weather models 🌦️
If your research bridges AI weather forecasts + XAI/statistical verification don’t hesitate to submit: meetingorganizer.copernicus.org/EGU26/sessio...
🌍 #verification #AIweather #EGU26
If your research bridges AI weather forecasts + XAI/statistical verification don’t hesitate to submit: meetingorganizer.copernicus.org/EGU26/sessio...
🌍 #verification #AIweather #EGU26
What an amazing work and team!🎉
We are excited to discus’s Polysemanticity @neuripsconf.bsky.social with you! 🧠
Check out the paper at the link below!
We are excited to discus’s Polysemanticity @neuripsconf.bsky.social with you! 🧠
Check out the paper at the link below!
Happy to share that our PRISM paper has been accepted at #NeurIPS2025 🎉
In this work, we introduce a multi-concept feature description framework that can identify and score polysemantic features.
📄 Paper: arxiv.org/abs/2506.15538
#NeurIPS #MechInterp #XAI
In this work, we introduce a multi-concept feature description framework that can identify and score polysemantic features.
📄 Paper: arxiv.org/abs/2506.15538
#NeurIPS #MechInterp #XAI
September 22, 2025 at 8:04 AM
What an amazing work and team!🎉
We are excited to discus’s Polysemanticity @neuripsconf.bsky.social with you! 🧠
Check out the paper at the link below!
We are excited to discus’s Polysemanticity @neuripsconf.bsky.social with you! 🧠
Check out the paper at the link below!
🚨New paper 🚨
We are happy to announce that our paper “Deep Learning meets Teleconnections: Improving S2S Predictions for European Winter Weather” has been published at Machine Learning: Earth @ioppublishing.bsky.social
📄 iopscience.iop.org/article/10.1...
💻 github.com/philine-bomm...
We are happy to announce that our paper “Deep Learning meets Teleconnections: Improving S2S Predictions for European Winter Weather” has been published at Machine Learning: Earth @ioppublishing.bsky.social
📄 iopscience.iop.org/article/10.1...
💻 github.com/philine-bomm...
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iopscience.iop.org
August 5, 2025 at 7:19 AM
🚨New paper 🚨
We are happy to announce that our paper “Deep Learning meets Teleconnections: Improving S2S Predictions for European Winter Weather” has been published at Machine Learning: Earth @ioppublishing.bsky.social
📄 iopscience.iop.org/article/10.1...
💻 github.com/philine-bomm...
We are happy to announce that our paper “Deep Learning meets Teleconnections: Improving S2S Predictions for European Winter Weather” has been published at Machine Learning: Earth @ioppublishing.bsky.social
📄 iopscience.iop.org/article/10.1...
💻 github.com/philine-bomm...
🚨Preprint alert 🚨
Why limit our view to a single concept when neurons potentially encode multiple concepts? 👀
Check out 🔎PRISM🔎, our new multi-concept interpretability framework for LLMs.
Congratulations to @lkopf.bsky.social and the team!
📄: arxiv.org/abs/2506.15538
Why limit our view to a single concept when neurons potentially encode multiple concepts? 👀
Check out 🔎PRISM🔎, our new multi-concept interpretability framework for LLMs.
Congratulations to @lkopf.bsky.social and the team!
📄: arxiv.org/abs/2506.15538
🔍 When do neurons encode multiple concepts?
We introduce PRISM, a framework for extracting multi-concept feature descriptions to better understand polysemanticity.
📄 Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
arxiv.org/abs/2506.15538
🧵 (1/7)
We introduce PRISM, a framework for extracting multi-concept feature descriptions to better understand polysemanticity.
📄 Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
arxiv.org/abs/2506.15538
🧵 (1/7)
June 20, 2025 at 7:04 AM
🚨Preprint alert 🚨
Why limit our view to a single concept when neurons potentially encode multiple concepts? 👀
Check out 🔎PRISM🔎, our new multi-concept interpretability framework for LLMs.
Congratulations to @lkopf.bsky.social and the team!
📄: arxiv.org/abs/2506.15538
Why limit our view to a single concept when neurons potentially encode multiple concepts? 👀
Check out 🔎PRISM🔎, our new multi-concept interpretability framework for LLMs.
Congratulations to @lkopf.bsky.social and the team!
📄: arxiv.org/abs/2506.15538
🚨new preprint alert🚨
Can deep learning boost S2S forecasts? We investigated how to leverage teleconnections to improve deep learning predictions! #AI #Weather #Climate
📄: arxiv.org/abs/2504.07625
💻: (coming soon) github.com/philine-bomm...
Can deep learning boost S2S forecasts? We investigated how to leverage teleconnections to improve deep learning predictions! #AI #Weather #Climate
📄: arxiv.org/abs/2504.07625
💻: (coming soon) github.com/philine-bomm...
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
Predictions on subseasonal-to-seasonal (S2S) timescales--ranging from two weeks to two month--are crucial for early warning systems but remain challenging owing to chaos in the climate system. Telecon...
arxiv.org
April 12, 2025 at 11:07 AM
🚨new preprint alert🚨
Can deep learning boost S2S forecasts? We investigated how to leverage teleconnections to improve deep learning predictions! #AI #Weather #Climate
📄: arxiv.org/abs/2504.07625
💻: (coming soon) github.com/philine-bomm...
Can deep learning boost S2S forecasts? We investigated how to leverage teleconnections to improve deep learning predictions! #AI #Weather #Climate
📄: arxiv.org/abs/2504.07625
💻: (coming soon) github.com/philine-bomm...
🚨 New paper alert! 🚨
We’re excited to share our latest work on interpretability evaluation:
"Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions"
📜 Accepted at TMLR 🎉
🔥 Survey certification 🔥
📖 Read: openreview.net/pdf?id=ukLxqA8…
We’re excited to share our latest work on interpretability evaluation:
"Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions"
📜 Accepted at TMLR 🎉
🔥 Survey certification 🔥
📖 Read: openreview.net/pdf?id=ukLxqA8…
February 17, 2025 at 10:23 AM
🚨 New paper alert! 🚨
We’re excited to share our latest work on interpretability evaluation:
"Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions"
📜 Accepted at TMLR 🎉
🔥 Survey certification 🔥
📖 Read: openreview.net/pdf?id=ukLxqA8…
We’re excited to share our latest work on interpretability evaluation:
"Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions"
📜 Accepted at TMLR 🎉
🔥 Survey certification 🔥
📖 Read: openreview.net/pdf?id=ukLxqA8…
I had an amazing experience at my first #AGU24 and enjoyed to finally meet so many great researchers in person. I am excited to see what the future holds for #climateAI and #climatescience 💪🏼💡💻🌎🌍🌏
December 13, 2024 at 12:46 PM
I had an amazing experience at my first #AGU24 and enjoyed to finally meet so many great researchers in person. I am excited to see what the future holds for #climateAI and #climatescience 💪🏼💡💻🌎🌍🌏