Biography
I’m searching for research questions that cut to the core of human understanding and hope to one day find natural laws that make highly specific predictions and apply in many contexts. In the mean-time I’m working on a variety of projects that piqued my interest.
I was one of the main organizers of the first AI Safety Camp.
Interests
- The Science of Deep Learning
- Inductive Biases in Neural Networks
- Theory of Mind; decision-making; reasoning…
Education
PhD in Artificial Intelligence, 2024
King's College London and Imperial College London
MSc in Mathematics
Leiden University and Paris-Sud University
BSc in Mathematics
Leiden University
Recent Publications
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(2023).
Any Deep ReLU Network is Shallow.
(Preprint).
(2023).
Finding Sparse Initialisations using Neuroevolutionary Ticket Search (NeTS).
In ALIFE.
(2023).
Low-Entropy Latent Variables Harm Out-of-Distribution Performance.
In ICLR workshop - Domain Generalization.
(2021).
Safety Properties of Inductive Logic Programming.
AAAI workshop on AI Safety.
(2020).
Learning to Communicate with Strangers via Channel Randomisation Methods.
In NeurIPS workshop - Emergent Communication.
Contact
- nandischoots@gmail.com
- 30 Aldwych, London, CA WC2B 4BG
- Book an appointment
- DM Me