Our work 'Action Conditional Recurrent Kalman Network' is accepted at #CoRL2020. Excited to share more details at the virtual conf. :) Thanks to Prof Gerhard Neuman(@alr_kit) and our collaborators Philipp Becker, Dieter Büchler, Marc Hanheide, L-CAS. arxiv.org/abs/2010.10201

In their #ICLR21 paper, #BCAI & Shmoopy researchers propose diff. neural network layers to enforce trust regions for deep Gaussian policies via closed-form projections in order to tackle difficulties in deep #RL📰 arxiv.org/abs/2101.09207 🗓️poster session 05/3, 6-8 pm(CEST)

Our work ‚Specializing Versatile Skill Libraries using Local Mixture of Experts‘ is accepted at #CoRL2021 🙂. openreview.net/forum?id=j3Rgu… Thanks to Prof. Neumann(@alr_kit), Zhou, Ge Li and Philipp Becker (Philipp Becker).

Excited to present our work on "Hidden Parameter RSSMs for Changing Dynamics Scenarios" at ICLR 2022 on 27 April. 🙂 We learn a deep multi-task Kalman Filter than can adapt to non-stationary environments. openreview.net/forum?id=ds8yZ… Gerhard Neumann Dieter Büchler Philipp Becker Autonomous Learning Robots Lab

I'm super excited about this PhD work of mine, "Multi Time Scale World Models", which has been accepted to Neurips 2023 as a spotlight (Top 3% of all submitted papers). Details are in the thread below. (1/6)

🧩 How does #BayesianDeepLearning handle the wild terrain of real-world o.o.d. data? Novel work from our student Florian Seligmann with the #WILDS 🐾 datasets: Exploring transformers, finetuning and last-layer methods while ensembling it all! #NeurIPS2023 arxiv.org/abs/2306.12306

Curious how recent #BayesianDeepLearning methods perform on data beyond the training distribution? At #NeurIPS2023, there's large-scale survey on the #WILDS dataset, exploring fine-tuning, transformers, and deep ensembles in real-world scenarios. 📃➡️ bit.ly/3PXR25r

Excited to announce that today we will present four papers at the ICML workshops : 📐 Niklas Freymuth will showcase “Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations” @ the AI for Science Workshop. Stay tuned! #ICML2024 #MachineLearning