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Nathan Ordonez

PhDETH ZurichIBM Research

Events

  1. ZurichHW #1
    Arianna Rubino and Frank Kagan Gürkaynak (ETH Zurich) on end-to-end open-source chip design, and Filippo Moro (UZH / ETH Zurich) on co-designing chips and neural networks for autonomous robots.
    86
  2. ZurichNLP #23
    Vilém Zouhar (ETH Zurich) on the Last Translation Benchmark, and Philippe Bich (Huawei Research) on low-bit inference for LLMs.
    96
  3. Today
    ZurichCV #15
    Said Gürbüz (ETH Zurich) on controllable desktop environments for computer use agents, and Lorenzo Steno (Seldon Technologies) on building RL environments for computer use.
    161
  4. ZurichNLP #22
    Tiago Pimentel (ETH Zurich) on causality’s role in ML interpretability and Amir Joudaki (ETH Zurich) on learning dynamics and scaling laws.
    139
  5. ZurichRobotics #5
    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
  6. ZurichCV #14
    Haithem Turki from NVIDIA on photorealistic world models and Omar Sanseviero from Google DeepMind on the open Gemma model family.
    295(+58)
  7. ZurichNLP #21
    Jannis Vamvas from the University of Zurich on the challenge of Romansh and Eric Chen from EPFL on reasoning as test-time learning.
    131
  8. ZurichRobotics #4
    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
  9. ZurichCV #13
    Francis Engelmann from USI on superquadric representations for world models and Korrawe Karunratanakul from Flexion on versatile character control.
    250
  10. ZurichNLP #20
    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
  11. ZurichRobotics #3
    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
  12. ZurichCV #12
    Zan Gojcic from NVIDIA on generative reconstruction and Vanessa Sklyarova from ETH Zurich on hairstyle modelling for avatars.
    192
  13. ZurichNLP #19
    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
  14. ZurichRobotics #2
    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)
  15. ZurichNLP #18
    Philippe Bich from Huawei on calibration-free low-precision LLMs and Alejandro Hernandez Cano from EPFL on Apertus, the Swiss open LLM.
    258(+50)
  16. ZurichCV #11
    Paul-Edouard Sarlin from Google on 3D reconstruction for localization and Nando Metzger from ETH Zurich on high-resolution maps.
    280(+24)
  17. ZurichRobotics #1
    Barnabas Gavin Cangan from ETH Zurich on robot hands and Caterina Caccavella from ZHAW and ETH Zurich on bio-inspired active sensing.
    206
  18. ZurichCV #10
    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)
  19. ZurichNLP #17
    Aleksander Ficek from NVIDIA on synthetic generators and verifiers for coding and Matteo Saponati from ETH Zurich on the structures of self-attention.
    139
  20. ZurichNLP #16
    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
  21. ZurichCV #9
    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
  22. ZurichCV #8
    Xi Wang on egocentric learning and Nikolai Kalischek on diffusion-based panorama generation.
    75
  23. ZurichNLP #15
    Matej Jusup from the ETH AI Center on mastering board games and Bobby He from the University of Oxford on understanding outlier features.
    118
  24. ZurichCV #7
    Ayca Takmaz on open-vocabulary 3D scene understanding.
    89
  25. ZurichNLP #14
    Jonas Hübotter and Imanol Schlag from ETH Zurich on learning at test time and Swiss sovereign AI.
    122
  26. ZurichCV #6
    Barath Daniel Béla from ETH Zurich on GLOMAP and Peter Karkus from NVIDIA Research on autonomous driving in the age of LLMs.
    153
  27. ZurichNLP #13
    Betsa Maciej and Riccardo Maggioni from ETH Zurich on graph of thoughts and accelerating industrial programming with AI.
    119
  28. ZurichCV #5
    Julian Eisenschlos from Google DeepMind and Anton Obukhov from ETH Zurich.
    121
  29. ZurichNLP #12
    Yannic Kilcher on OpenAssistant and Afra Amini on aligning LLM algorithms.
    109
  30. ZurichCV #4
    Image tokenizers in the age of VLMs and photorealistic reconstruction of 3D scenes.
    138
  31. ZurichNLP #11
    Scaling LoRA serving for AWS and defending against hoodwinked agents.
    107
  32. ZurichCV #3
    Julian Schilliger from ETH Zurich on reading ancient papyrus and Nicolas Muntwyler from nunu.ai on visual game agents.
    102
  33. ZurichNLP #10
    Kacper Lukawski from Qdrant on optimizing RAG and Tannon Kew from the University of Zurich on multilingual language models.
    128
  34. ZurichNLP #9
    Lewis Tunstall from Hugging Face on LLM alignment and Vilém Zouhar from ETH Zurich on tokenization.
    182
  35. ZurichCV #2
    Lucas Beyer from Google DeepMind on structured computer vision in the age of language models.
    174
  36. ZurichCV #1
    Felix Bauer from SynSense and Songyou Peng from ETH Zurich launch the ZurichCV series.
    101
  37. ZurichNLP #8
    Brian DuSell from ETH Zurich on stack attention and Leandro von Werra from Hugging Face on BigCode.
    111
  38. ZurichNLP #7
    Martina Forster and Luca Campanella from Typewise on building an NLP startup, and Tiago Pimentel from ETH Zurich on word lengths.
    65
  39. ZurichNLP #6
    Lucas Beyer from Google DeepMind and Ana Kotarcic from the University of Zurich.
    95
  40. ZurichNLP #5
    Jonas Pfeiffer from Google DeepMind on modular deep learning and Eiso Kant from Poolside on learning from code.
    85
  41. ZurichNLP #4
    Katya Mirylenka from IBM Research and Elliott Ash from ETH Zurich on text classification and legal summarization.
    92
  42. ZurichNLP #3
    Tim Scarfe and Zeerak Talat on the democratization, policy, and ethics of AI.
  43. ZurichNLP #2
    Julian Eisenschlos from Google and Alex Warstadt from ETH Zurich.
    68
  44. ZurichNLP #1
    Luca Beurer-Kellner from ETH Zurich and Basil Mustafa from Google Brain.
    50

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