Jean-pascal Pfister
6 papers · 2009–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Core Methods
(4)
Models
(4)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Interdisciplinary
(2)
Science
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Cognitive Science
(1)
Core AI
(1)
Learning Types
(1)
Keywords
normalizing flow
(3)
density estimation
(3)
manifold learning
(3)
computational neuroscience
(1)
neural computation
(1)
membrane potential
(1)
bayesian estimation
(1)
spike-timing-dependent plasticity
(1)
synaptic plasticity
(1)
sequence learning
(1)
intrinsic dimensionality
(1)
stochastic process
(1)
probability density
(1)
synaptic depression
(1)
recursive filter
(1)
short-term plasticity
(1)
optimal estimation
(1)
membrane potential estimation
(1)
generative model
(1)
score function
(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
NeurIPS 2022
Denoising Normalizing Flow
NeurIPS 2021
Sequence learning with hidden units in spiking neural networks
NeurIPS 2011
Know Thy Neighbour: A Normative Theory of Synaptic Depression
NeurIPS 2009