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On September 16th and 17th, 2024, the Max Planck (MPG) and Amazon Science Hub will jointly host the fall research symposium bringing together our research communities and showcasing the latest innovations and advancements. Join us for this two-day event featuring keynote and lightning talks, breakout discussions and networking.
This event will be held at the MPI-IS Tübingen Institute on Monday September 16th and at the Amazon Research & Development Building Tübingen on Tuesday September 17th (see below for FAQs).
Science Hub Website
11:45 am
Welcome Remarks Michael J. Black, Managing Director, MPI for Intelligent Systems (MPI-IS) Michael Hirsch, Applied Science Manager, Amazon
12:00 am
Lunch Break
1:00 pm
Keynote Talk Haptic IntelligenceKatherine J. Kuchenbecker, Director, Haptic Intelligence department, MPI-IS
1:30 pm
Project Talks Learning clothing pressure fields via physics-based simulations Gokhan Serhat, Assistant Professor at KU Leuven and Research Scientist at MPI-IS Yashwardhan Deshmukh, Research Software Engineer, Haptic Intelligence department, MPI-IS
Physically Plausible Object Pose Refinement in Cluttered Scenes Jörg Stückler, Professor for Intelligent Perception in Technical Systems at the University of Augsburg
What do foundation models know about 3D humans? (remote) Gerard Pons-Moll, Professor, Department of Computer Science, University of Tübingen
Computer vision for exploring nonverbal human communication Carolin Schmitt, Research Engineer, Optics and Sensing Laboratory, MPI-IS, Gökce Ergün, Research Engineer, Optics and Sensing Laboratory, MPI-IS
2:30 pm
Break
2:50 pm
Root Causal Analysis (RCA) at Amazon: some results and challenges Sergio Herna Garrido Mejia, Ph.D. Student, Empirical Inference Department, MPI-IS
Improving the Al recycling rate with thermodynamics-guided techniques Waleed Mohammed, Ph.D. Student, Department Microstructure Physics and Alloy Design, MPI for Sustainable Materials
3:20 pm
Talk
Physics-Inspired Fit-Aware Virtual Try-OnMing Lin, Amazon Scholar
Generative 3D and Novel View SynthesisSunil Hadap, Principal Applied Scientist Amazon Fashion and Fitness
3:50 pm
Poster Session & Networking
9:30 am
Introduction Betty Mohler Tesch, Principal Applied Scientist Amazon Fashion and Fitness, Michael Hirsch, Applied Science Manager Amazon (tbc)
9:45 am
Keynote Talk Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Volkan Cevher, Amazon Academic Research Consultant, Amazon Artificial General Intelligence Foundations
10:15 am
Keynote Talk GenAI in the Auto & Manufacturing Industry
Chris Markus-Kratz, Director, AWS Automotive
10:35 am
Talks AI in Sports
Ianir Ideses, Senior Manager Applied Science Amazon Prime Video
10:55 am
11:15 am
(CANCELLED) Making Time Series Classification Understandable using Multiple Instance Learning
Jas Kandola Senior Manager Applied Science Amazon Prime Video
11:35 am
Packaging Optimization at Amazon Scale: Tackling Scientific Challenges with Machine
Learning and ML Operational Excellence
Matthias Polozek, Principal Applied Scientist Amazon Robotics
11:55 am
REXEL: An end-to-end model for document-level relation extraction and entity linking
Shubhi Tyagi, Senior Applied Scientist Amazon Artificial General Intelligence
12:15 pm
1:15 pm
Generative AI for Ambient Sound: Fusing Text, Melody, and Context for Personalized Experiences
Hassen Dhrif, Senior Applied Scientist, Amazon Devices
1:35 pm
Distributed and Adversarial Training of Large Machine Learning Models
Michael Mühlebach, Research Group Leader, Learning and Dynamical Systems group, MPI-IS
1:55 pm
Theoretical Foundations of Deep Selective State-Space Models
Antonio Orvieto, Principal Investigator at the ELLIS Institute Tübingen and independent group leader at MPI-IS
2:15 pm
2:35 pm
When do adversarial attacks against language models matter?
Jonas Geiping, Principal Investigator at the ELLIS Institute Tübingen and independent research group leader at MPI-IS
2:55 pm
Improving Decision Making with Machine Learning, Provably
Manuel Gomez-Rodriguez, Faculty at the MPI for Software Systems
3:15 pm
Generative AI for Research: Global Examples how researchers leverage cloud services to accelerate their work
Roberta Piscitelli, Academic Research Lead EMEA, Andreas Wagner, Sr. Account Manager for Research in Germany
3:35 pm
Inference optimization for foundational models on AI accelerators
Kailash Budhathoki, Sr. Applied Scientist, AWS Deep Engine-Science
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