Joshua W. Robinson
6 papers · 2008–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (2) 🏃 Academic Marathon (15)
🏃
Academic Marathon
(15)
🐝
Cross-Pollinator
(12)
🌈
Renaissance Researcher
(6)
🏆
Keyword Champion
(2)
🧬
Topic Evolution
❓
The Questioner
📈
Trend Setter
Conferences
NIPS (5)
JMLR (1)
Top co-authors
Keywords
non-stationary process
(2)
structure learning
(2)
contrastive learning
(2)
dynamic bayesian network
(2)
markov chain monte carlo
(2)
representation learning
(2)
discrete optimization
(1)
non-stationary processes
(1)
semantic similarity
(1)
bayesian network
(1)
graphical model
(1)
spectral geometry
(1)
instance discrimination
(1)
negative sampling
(1)
time-series analysis
(1)
polynomial network
(1)
set function
(1)
graph neural network
(1)
neural network
(1)
sign equivariant network
(1)
Papers
Expressive Sign Equivariant Networks for Spectral Geometric Learning
NIPS 2023
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
NIPS 2022
Can contrastive learning avoid shortcut solutions?
NIPS 2021
Debiased Contrastive Learning
NIPS 2020
Learning Non-Stationary Dynamic Bayesian Networks
JMLR 2010
Non-stationary dynamic Bayesian networks
NIPS 2008