1 citations · 1 across the 2 of their papers we have counts for
6 papers
Augmenting Supervised Learning by Meta-learning Unsupervised Local Rules
Jeffrey Cheng, Ari Benjamin, Benjamin Lansdell +1
The brain performs unsupervised learning and (perhaps) simultaneous supervised learning. This raises the question as to whether a hybrid of supervised and unsupervised methods will…
A Philosophical Understanding of Representation for Neuroscience
Ben Baker, Benjamin Lansdell, Konrad Kording
Neuroscientists often describe neural activity as a representation of something, or claim to have found evidence for a neural representation. But what do these statements mean? The…
Towards intervention-centric causal reasoning in learning agents
Benjamin Lansdell
Interventions are central to causal learning and reasoning. Yet ultimately an intervention is an abstraction: an agent embedded in a physical environment (perhaps modeled as a Mark…
Learning to solve the credit assignment problem
Benjamin James Lansdell, Prashanth Ravi Prakash, Konrad Paul Kording
Backpropagation is driving today's artificial neural networks (ANNs). However, despite extensive research, it remains unclear if the brain implements this algorithm. Among neurosci…
Rarely-switching linear bandits: optimization of causal effects for the real world
Benjamin Lansdell, Sofia Triantafillou, Konrad Kording
Excessively changing policies in many real world scenarios is difficult, unethical, or expensive. After all, doctor guidelines, tax codes, and price lists can only be reprinted so…
Towards learning-to-learn
Benjamin James Lansdell, Konrad Paul Kording
In good old-fashioned artificial intelligence (GOFAI), humans specified systems that solved problems. Much of the recent progress in AI has come from replacing human insights by le…