Mark van der Wilk @markvanderwilk@qoto.org
Senior Lecturer (Associate Professor) at Imperial College London.
Interested in automatic inductive bias selection using Bayesian tools.
How should NNs adjust their connectivity structure to get an appropriate inductive bias for a particular problem?
Continuous parameterisations enable the use of gradients to answer this question.
Thanks to @tychovdo and David Romero for a great collaboration across the North Sea.
See https://qoto.org/web/statuses/109347006769035328 for more.
🌟New work!🌟 Weight symmetries (e.g. equivariances) of NNs are typically fixed and can not be adjusted. We construct flexible symmetry constraints to efficiently interpolate between a linear map, equivariance or invariance. w/ co-authors @davidromero and @markvanderwilk . 🧵👇1/11
The longer I spend in the AI/ML community, the more I become convinced that the major issues facing our world are political/organisational, rather than technical.
We have had enough food to feed the world for decades, yet somehow agricultural robotics is seen as a solution to "feed the world".
It's interesting to see a book on AI give a perspective on this, even though there may still be many different analyses about why this is happening, and differing opinions on what to do about it.
I am dead, I can’t believe this AI intro text I just got. If you thumb through it, there are all the usual suspects like breadth-first search and probability.
Then you open the first chapter and it goes HARD on the current state of things.
Then it’s back to mathematical notation like nothing happened.
#introduction
hello Mastodon world.
Postgraduate researcher (PhD) in Machine Learning at Imperial College London. Supervised by @markvanderwilk . My main research interests are learning inductive bias and generalisation of neural networks.
Currently, I am working on deep neural networks in which the architectural (e.g. symmetry) structures themselves can be learned with gradients from training data.
Interested? Follow or direct message to chat/ meet up at NeurIPS 2022.
We are looking for postdocs! (1) To study how brainwide neuronal activity supports diverse behaviors (w Kenneth Harris); (2) To relate the activity of a neuron to its pre- and postsynaptic neurons across cortex (w Alipasha Vaziri and Federico Rossi). https://tinyurl.com/CortexlabPostdoc
I've seen some instances with many scientists so far, like fediscience.org, mathstodon.xyz, and qoto.org. Are there any instances specifically for machine learning, artificial intelligence, and statistics folks?
Imperial College London is offering 30 Schmidt Futures Postdoctoral Fellowhips. These offer an opportunity to do great work, together with others in the Imperial community, myself included.
https://www.imperial.ac.uk/news/240936/schmidt-futures-selects-imperial-148m-initiative/
Senior Lecturer (Associate Professor) at Imperial College London.
Interested in automatic inductive bias selection using Bayesian tools.
