PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL Theory (Overparam, Implicit Bias, Optim), Sparsity
Until December 7th, you can send us your suggestions, and we will use them to shape the program.
icml.cc/Conferences/...
Until December 7th, you can send us your suggestions, and we will use them to shape the program.
icml.cc/Conferences/...
Proud of the growing strength of the Bavarian AI ecosystem 👉 baiosphere.org
�� dealroom.co/tech-ecosystem-index-2025�5#Munich #baiosphereiosphere
Proud of the growing strength of the Bavarian AI ecosystem 👉 baiosphere.org
�� dealroom.co/tech-ecosystem-index-2025�5#Munich #baiosphereiosphere
Here is a first call for PhD positions at our new Center of Excellence at TUDa […]
Here is a first call for PhD positions at our new Center of Excellence at TUDa […]
‼️ The application portal will be open from 15 October to 14 November 2025.
Find out more: mcml.ai/opportunitie...
‼️ The application portal will be open from 15 October to 14 November 2025.
Find out more: mcml.ai/opportunitie...
Preprint: arxiv.org/abs/2509.23898
Preprint: arxiv.org/abs/2509.23898
Apply now for Doctoral (4y) or Postdoc (3y) positions (TV-L E13, 100%) at LMU & TUM.
Research focus: bridging Machine Learning & Control Theory for complex dynamical systems.
📅 Deadline: Nov 13, 2025
📍 Start: Apr 1, 2026
www.portal.graduatecenter.lmu.de/ocgc/meteor
Apply now for Doctoral (4y) or Postdoc (3y) positions (TV-L E13, 100%) at LMU & TUM.
Research focus: bridging Machine Learning & Control Theory for complex dynamical systems.
📅 Deadline: Nov 13, 2025
📍 Start: Apr 1, 2026
www.portal.graduatecenter.lmu.de/ocgc/meteor
The track invites authors of papers published or accepted after January 1st, 2024 in AoS, Biometrika, JASA, JMLR and JRSS B to present their work as posters at #AISTATS2026 in Tangier, Morocco (May 2nd-5th 2026).
📅 Deadline: 31 January 2026
The track invites authors of papers published or accepted after January 1st, 2024 in AoS, Biometrika, JASA, JMLR and JRSS B to present their work as posters at #AISTATS2026 in Tangier, Morocco (May 2nd-5th 2026).
📅 Deadline: 31 January 2026
👉 Come find out and visit our poster E-1205 in the East Hall this morning at #ICML2025 presented by @arikreuter.bsky.social
icml.cc/virtual/2025...
👉 Come find out and visit our poster E-1205 in the East Hall this morning at #ICML2025 presented by @arikreuter.bsky.social
icml.cc/virtual/2025...
Feel free to check out our paper and reach out if you're attending or would like to discuss!
📄 Paper: arxiv.org/abs/2506.14329
Feel free to check out our paper and reach out if you're attending or would like to discuss!
📄 Paper: arxiv.org/abs/2506.14329
Check them out: mcml.ai/news/2025-07...
Check them out: mcml.ai/news/2025-07...
> Postdoctoral Researchers in AI and Machine Learning Applications in Heritage Science and Archaeology
1) job-portal.lmu.de/jobposting/d...
2) job-portal.lmu.de/jobposting/1...
> Postdoctoral Researchers in AI and Machine Learning Applications in Heritage Science and Archaeology
1) job-portal.lmu.de/jobposting/d...
2) job-portal.lmu.de/jobposting/1...
Check out the paper and feel free to reach out:
🔗 arxiv.org/abs/2503.05538
Check out the paper and feel free to reach out:
🔗 arxiv.org/abs/2503.05538
job-portal.lmu.de/jobposting/e...
job-portal.lmu.de/jobposting/e...
**Bayesian Inference for Invariant Feature Discovery from Multi-Environment Data**
Watch it on our livestream: timrudner.com/aabi2025!
**Bayesian Inference for Invariant Feature Discovery from Multi-Environment Data**
Watch it on our livestream: timrudner.com/aabi2025!
**The Role of Probabilistic Machine Learning in the Age of Foundation Models and Agentic AI**
Thanks to Emtiyaz Khan, Luhuan Wu, and @jamesrequeima.bsky.social for participating!
**The Role of Probabilistic Machine Learning in the Age of Foundation Models and Agentic AI**
Thanks to Emtiyaz Khan, Luhuan Wu, and @jamesrequeima.bsky.social for participating!
Feel free to drop by!
Feel free to drop by!
Register here (free but spots are limited!): approximateinference.org
Register here (free but spots are limited!): approximateinference.org