Autonomous Learning Robots Lab
@alr_lab_kit
The Autonomous Learning Robots Lab @KITKarlsruhe develops methods on the intersection of machine learning and robotics. Lead by Prof. @geri_neumann
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Having great pleasure from presenting our work in temporally correlated RL (github.com/BruceGeLi/TCE_…) in #ICLR2024 and enjoying a lot of fun in #Vienna
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
🧩 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
📢Interested in 6D pose estimation of novel objects w/o mesh models and gt-masks from clutter scenes? 🤖Check out our #CORL2023 paper "SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects"🎉 🌐sites.google.com/view/sa6d @Bosch_AI @alr_lab_kit @corl_conf
Feeling the stress of slow simulations?⏰Let Adaptive Swarm Mesh Refinement (ASMR) soothe your computational woes! Our method produces high-quality mesh refinements that offer up to 100x speedup.🎧📊 arxiv.org/abs/2304.00818 github.com/NiklasFreymuth… Catch us at #NeurIPS2023!
Excited to share 4 accepted NeurIPS papers from our team. Amazing work and congratz to the team! Looking forward to seeing everyone in New Orleans :)
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)
I am happy to share our recent work, “On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning”, ( openreview.net/pdf?id=UQXdQyo… ) published at TMLR. With @geri_neumann Let me summarize our key contributions in a short thread:
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 @philippb06, @dtrbchlr, @MarcHanheide, @LCAS_UoL. arxiv.org/abs/2010.10201
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 (@philippb06).
Our work 'What Matters for Meta-Learning Vision Regression Tasks?' is accepted at #CVPR2022. Check it out if you are interested :) Codes and datasets will be available soon. Thanks to professor @geri_neumann and our collaborators Hanna Ziesche, @VienNgo4, @volppmichael.
What Matters For Meta-Learning Vision Regression Tasks? deepai.org/publication/wh… by @gaobaoding et al. #Statistics #Estimator
deepai.org
What Matters For Meta-Learning Vision Regression Tasks?
03/09/22 - Meta-learning is widely used in few-shot classification and function regression due to its ability to quickly adapt to unseen task...
Onur's recent work on Versatile Skill Learning, published at @corl_conf 2021. Congrats! 🎉
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 (@philippb06).
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