Jean-pascal Pfister
6 papers · 2009–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (15) π Cross-Pollinator (8)
πΊοΈ
Taxonomy Completionist
(17)
π
Interdisciplinary Bridge
π
Trend Setter
Conferences
NIPS (4)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
manifold learning
(3)
normalizing flow
(3)
density estimation
(2)
membrane potential
(1)
sequence learning
(1)
intrinsic dimensionality
(1)
probability density
(1)
synaptic depression
(1)
recursive filter
(1)
short-term plasticity
(1)
optimal estimation
(1)
membrane potential estimation
(1)
spike-timing dependent plasticity
(1)
generative model
(1)
spiking neural network
(1)
denoising autoencoder
(1)
synaptic weight
(1)
temporal pattern
(1)
recurrent network
(1)
hidden neuron
(1)
Papers
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
ICLR 2024
Density estimation on low-dimensional manifolds: an inflation-deflation approach
JMLR 2023
Intrinsic dimensionality estimation using Normalizing Flows
NIPS 2022
Denoising Normalizing Flow
NIPS 2021
Sequence learning with hidden units in spiking neural networks
NIPS 2011
Know Thy Neighbour: A Normative Theory of Synaptic Depression
NIPS 2009