Nino Scherrer
<firstname>.<lastname>@gmail.com
I am currently a visiting researcher at FAR AI
working with Claudia Shi (Columbia) and
Amir Feder (Columbia/Google).
We investigate the effects of training data, optimization formulations and fine-tuning procedures on
language model behaviors and demographic biases.
Previously, I spent time as a research intern at the
Vector Institute (hosted by
Prof. Animesh Garg)
and Mila (hosted by
Prof. Yoshua Bengio),
and for my master thesis at MPI for Intelligent Systems, Tübingen.
During this research visits, I have been fortunate to work closely with
Nan Rosemary Ke,
Anirudh Goyal
and Prof. Stefan Bauer.
I did my masters and bachelors in computer science at ETH Zürich.
In my earlier life, I did a diploma (vocational education) in computer science and worked multiple years as a systems engineer at SFS AG.
Fields of Interest
Causal Inference
Representation Learning
Natural Language Processing
AI for Healthcare
Research
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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,
Preprint (arXiv) & NeurIPS WHY-21 Workshop, 2021,
[Paper] [Blog]
Causal Discovery
Experimental Design
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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, 2020,
[Paper]
Medical Image Analysis
Semantic Segmentation
Talks
- 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