Lars Buesing
18 papers · 2007–2022 · 5 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (10) ๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird ๐ Renaissance Researcher (5)
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Conference Polyglot
(5)
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Academic Marathon
(15)
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Cross-Pollinator
(15)
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Keyword Trendsetter Combo
(3)
๐งฌ
Topic Evolution
๐ฅ
Unstoppable
(5)
๐
Trend Setter
๐
Century Club
(18)
๐๏ธ
Keyword Collector
(89)
Conferences
NIPS (11)
ICLR (3)
AISTATS (2)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
value function
(4)
neural population
(3)
variational inference
(3)
spiking neuron
(3)
calcium imaging
(3)
dimensionality reduction
(2)
bayesian inference
(2)
generalized linear model
(2)
credit assignment
(2)
model-free reinforcement learning
(2)
latent variable model
(2)
variance reduction
(2)
dynamical system
(2)
policy gradient
(1)
information bottleneck
(1)
approximate inference
(1)
statistical modeling
(1)
online learning
(1)
principal component analysis
(1)
theoretical analysis
(1)
Papers
Making Sense of Raw Input (Extended Abstract)
IJCAI 2022
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
ICML 2021
Pointer Graph Networks
NIPS 2020
Value-driven Hindsight Modelling
NIPS 2020
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
AISTATS 2020
Combining Q-Learning and Search with Amortized Value Estimates
ICLR 2020
Temporal Difference Variational Auto-Encoder
ICLR 2019
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
ICLR 2019
Credit Assignment Techniques in Stochastic Computation Graphs
AISTATS 2019
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
NIPS 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
NIPS 2017
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
NIPS 2015
Clustered factor analysis of multineuronal spike data
NIPS 2014
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
NIPS 2013
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
NIPS 2012
Empirical models of spiking in neural populations
NIPS 2011
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
NIPS 2008
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
NIPS 2007