Neil Burgess
5 papers · 2019–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(2)
🌈
Renaissance Researcher
(5)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
NIPS (3)
ICLR (2)
Top co-authors
Keywords
deep reinforcement learning
(1)
variational inference
(1)
bayesian inference
(1)
probabilistic inference
(1)
message passing
(1)
gaussian process factor analysis
(1)
stochastic process
(1)
amortized inference
(1)
probabilistic graphical model
(1)
spatial representation
(1)
exploration strategy
(1)
sparse reward
(1)
intrinsic reward
(1)
successor representation
(1)
structural inference
(1)
grid cell
(1)
place cell
(1)
hippocampal replay
(1)
explaining away
(1)
probabilistic message passing
(1)
Papers
Successor-Predecessor Intrinsic Exploration
NIPS 2023
Structured Recognition for Generative Models with Explaining Away
NIPS 2022
Learning State Representations via Retracing in Reinforcement Learning
ICLR 2022
Prediction and generalisation over directed actions by grid cells
ICLR 2021
Coordinated hippocampal-entorhinal replay as structural inference
NIPS 2019