David Pfau
8 papers · 2010–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (15) 🐝 Cross-Pollinator (13)
🌈
Renaissance Researcher
(7)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(19)
📈
Trend Setter
Conferences
NIPS (4)
ICLR (2)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
dimensionality reduction
(1)
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 pca
(1)
matrix completion
(1)
nuclear norm minimization
(1)
neural data analysis
(1)
probabilistic deterministic infinite automata
(1)
sequence prediction
(1)
predictive distribution smoothing
(1)
bayesian nonparametric learning
(1)
markov model
(1)
latent dynamical system
(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
NIPS 2020
Spectral Inference Networks: Unifying Deep and Spectral Learning
ICLR 2019
Learning to learn by gradient descent by gradient descent
NIPS 2016
Robust learning of low-dimensional dynamics from large neural ensembles
NIPS 2013
Probabilistic Deterministic Infinite Automata
NIPS 2010