David Pfau
8 papers · 2010–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Diamond 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird
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Renaissance Researcher
(7)
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Venues
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Research topics
Machine Learning
(7)
Core Methods
(5)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Core AI
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Types
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
metric learning
(1)
bayesian nonparametrics
(1)
manifold learning
(1)
neural dynamics
(1)
convex optimization
(1)
language modeling
(1)
joint learning
(1)
neural network optimization
(1)
gradient descent
(1)
exponential family
(1)
exponential family pca
(1)
slow feature analysis
(1)
matrix completion
(1)
nuclear norm minimization
(1)
action value
(1)
neural data analysis
(1)
probabilistic deterministic infinite automata
(1)
sequence prediction
(1)
predictive distribution smoothing
(1)
dimensionality reduction
(1)
Papers
Wasserstein Policy Optimization
ICML 2025
A Self-Attention Ansatz for Ab-initio Quantum Chemistry
ICLR 2023
Making Sense of Raw Input (Extended Abstract)
IJCAI 2022
Disentangling by Subspace Diffusion
NeurIPS 2020
Spectral Inference Networks: Unifying Deep and Spectral Learning
ICLR 2019
Learning to learn by gradient descent by gradient descent
NeurIPS 2016
Robust learning of low-dimensional dynamics from large neural ensembles
NeurIPS 2013
Probabilistic Deterministic Infinite Automata
NeurIPS 2010