Florian Cäsar
FounderSymbol Industries
Events
- Tiago Pimentel (ETH Zurich) on causality’s role in ML interpretability and Amir Joudaki (ETH Zurich) on learning dynamics and scaling laws.52
- Today
- Dominique Paul (ETH Zurich, Dream Machines) on building robotic AI models for self-serve automation, drawing on six weeks of visits to European factories and learning from demonstrations of physical work.248
- Haithem Turki from NVIDIA on photorealistic world models and Omar Sanseviero from Google DeepMind on the open Gemma model family.295(+58)
- Jannis Vamvas from the University of Zurich on the challenge of Romansh and Eric Chen from EPFL on reasoning as test-time learning.131
- Seif Ismail from Watney Robotics on Conway's Law in robotics and Victor Klemm from ETH Zurich on designing robots with legs, wheels, and arms.181
- Francis Engelmann from USI on superquadric representations for world models and Korrawe Karunratanakul from Flexion on versatile character control.250
- Fabian Schaipp from Inria on training algorithms for machine learning and Valentina Pyatkin from the Allen Institute and ETH Zurich on training open-source LLMs.289
- Michael Neunert from Google DeepMind on efficient models for bringing AI into the real world and Riccardo Maggioni from FORGIS on the intelligence layer for the factory floor.285
- Zan Gojcic from NVIDIA on generative reconstruction and Vanessa Sklyarova from ETH Zurich on hairstyle modelling for avatars.192
- Sina Ahmadi from the University of Zurich on low-resource language varieties and Barna Pasztor from ETH Zurich on sample-efficient dataset collection for RLHF.179
- Antonio Arbues from Loki Robotics on building useful robots in the age of AI and Giacomo Manzoni from Hexagon on imitation learning for dexterous manipulation.295(+9)
- Philippe Bich from Huawei on calibration-free low-precision LLMs and Alejandro Hernandez Cano from EPFL on Apertus, the Swiss open LLM.258(+50)
- Paul-Edouard Sarlin from Google on 3D reconstruction for localization and Nando Metzger from ETH Zurich on high-resolution maps.280(+24)
- Barnabas Gavin Cangan from ETH Zurich on robot hands and Caterina Caccavella from ZHAW and ETH Zurich on bio-inspired active sensing.206
- Felix Wimbauer from the Technical University of Munich and Google on understanding the 3D world from videos, and Joan Puigcerver from Google DeepMind on scaling computer vision architectures.290(+44)
- Aleksander Ficek from NVIDIA on synthetic generators and verifiers for coding and Matteo Saponati from ETH Zurich on the structures of self-attention.139
- Ivan Vulić from the University of Cambridge and Google DeepMind on vision-language models for spatial reasoning and Tiago Pimentel from ETH Zurich on generalisation in language models.187
- Linus Scheibenreif from ETH Zurich on self-supervised learning for satellite imagery and Pascal Chang from ETH Zurich and Disney Research on visual anagram generation.111
- Xi Wang on egocentric learning and Nikolai Kalischek on diffusion-based panorama generation.75
- Matej Jusup from the ETH AI Center on mastering board games and Bobby He from the University of Oxford on understanding outlier features.118
- Jonas Hübotter and Imanol Schlag from ETH Zurich on learning at test time and Swiss sovereign AI.122
- Barath Daniel Béla from ETH Zurich on GLOMAP and Peter Karkus from NVIDIA Research on autonomous driving in the age of LLMs.153
- Betsa Maciej and Riccardo Maggioni from ETH Zurich on graph of thoughts and accelerating industrial programming with AI.119
- Julian Schilliger from ETH Zurich on reading ancient papyrus and Nicolas Muntwyler from nunu.ai on visual game agents.102
- Kacper Lukawski from Qdrant on optimizing RAG and Tannon Kew from the University of Zurich on multilingual language models.128
- Lewis Tunstall from Hugging Face on LLM alignment and Vilém Zouhar from ETH Zurich on tokenization.182
- Lucas Beyer from Google DeepMind on structured computer vision in the age of language models.174
- Felix Bauer from SynSense and Songyou Peng from ETH Zurich launch the ZurichCV series.101
- Brian DuSell from ETH Zurich on stack attention and Leandro von Werra from Hugging Face on BigCode.111
- Martina Forster and Luca Campanella from Typewise on building an NLP startup, and Tiago Pimentel from ETH Zurich on word lengths.65
- Jonas Pfeiffer from Google DeepMind on modular deep learning and Eiso Kant from Poolside on learning from code.85
- Katya Mirylenka from IBM Research and Elliott Ash from ETH Zurich on text classification and legal summarization.92
