Nino Scherrer

<firstname>.<lastname>@gmail.com

I am a research intern at the Vector Institute under the supervision of Prof. Animesh Garg. Previously, I was a research intern at Mila under the supervision of Prof. Yoshua Bengio and working closely with Nan Rosemary Ke, Anirudh Goyal and Prof. Stefan Bauer.

My research interest centers around the causal perspective on machine learning with a focus on causal discovery, representation learning and reinforcement learning. I did my masters and bachelors in computer science at ETH Zürich and collaborated with Mila and MPI for Intelligent Systems, Tübingen during my master thesis on active neural causal discovery. Previously, 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 X Machine Learning Reinforcement learning Meta Learning Representation Learning Robotics

Research

On the Generalization and Adaption Performance of Causal Models
Nino Scherrer, Anirudh Goyal, Stefan Bauer, Yoshua Bengio, & Nan Rosemary Ke,
Preprint (arXiv),
[Paper]

Causal Models

Zero- and Few-Shot Adaptation
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

Active Learning
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio & Stefan Bauer,
Preprint (arXiv) & KDD - BCIRWIS Workshop, 2021,
[Paper] [Code]

Causal Discovery

Variational Inference
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

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