Nino Scherrer
nino.scherrer[at]gmail.com
I am a researcher at Google in Zurich. I am interested in language model evaluations, causality, cognitive and social science, and all forms of synthetic data.
Previously, ...
Fields of Interest
Rigorous LLM Evaluations
Causality
AI Safety / AI Ethics
Interpretability
Model Robustness
Research
> Language Model Evaluations
> Mechanistic Interpretability
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Uncovering Mesa-Optimization Algorithms in
Transformers
Johannes von Oswald*, Eyvind Niklasson*, Maximilian Schlegel*, Seijin Kobayashi, Nicolas Zuccet,
Nino Scherrer, Nolan Miller, Mark Sandler, Blaise Agüera y Arcas, Razvan Pascanu
and João Sacramento
ICLR 2024, Workshop on Understanding of Foundation Models (Oral)
Paper
Mechanistic Interpretability
Mesa-Optimization
> Causality / Machine Learning
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-
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Learning
Neural Causal Models with Active Interventions
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal,
Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer & Nan
Rosemary Ke,
NeurIPS 2021, WHY Workshop
Paper
Web Version
Causal Structure Learning
Experimental Design
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> Medical Image Analysis
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Improved
Segmentation and Detection Sensitivity of Diffusion-weighted Stroke Lesions with
Synthetically Enhanced Deep Learning
Christian Federau, Soren Christensen,
Nino Scherrer, Johanna
M. Ospel, Victor Schulze-Zachau, Noemi Schmidt, Hannes-Christian Breit, Julian
Macclaren, Maarten Lansberg & Sebastian Kozerke,
Radiology: Artificial Intelligence, (Volume 2, 2020)
Paper
Medical Image Analysis
Semantic Segmentation
> Biology / Tissue Engineering
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Improved
Radial Matrix Constraint Influences Tissue Contraction and Promotes Maturation of Bi-Layered Skin Equivalents
Jessica Polak, David Sachs,
Nino Scherrer, Adrian Süess, Huan Liu, Mitchell Levesque, Sabine Werner, Edoardo Mazza, Gaetana Restivo, Mirko Meboldt and Costanza Giampietro,
Biomaterials Advances, (Volume 156, 2024)
Paper
Tissue Engineering
Human Skin Equivalents
Talks
Upcoming:
Past:
- May 2024: "Evaluating (Moral) Beliefs Encoded in LLMs", MilaNLP Lab @ Bocconi University, Milan
- April 2024: "Evaluating (Moral) Beliefs Encoded in LLMs", Google Research, Zurich
- September 2023: "Evaluating the Moral Beliefs Encoded in LLMs", ChatGPT Zurich Group
(AI Meetup), Zurich
- February 2023: "Deep Learning for Causality: Neural Causal Structure
Learning", AI for Actionable Impact (AI4AI) Lab , Imperial College London
- January 2023: "On the Synergies of Causality and DeepLearning",
Neuroscience in ML Seminar, ETH Zurich
- April 2022: "Learning Neural Causal Models with Active Interventions",
XAI seminar series, Imperial College London
- October 2021: "Learning Neural Causal Models with Active
Interventions", Causality Reading Group, TU Darmstadt
Nino's Log
Heavily inspired by
Liliam Weng's Log, I am starting to
"log" my learning notes / thoughts in the field of AI using blog posts.