Kyle Cranmer
9 papers · 2017–2021 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (23)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(52)
Conferences
NIPS (5)
AISTATS (2)
ICML (1)
UAI (1)
Top co-authors
Keywords
combinatorial optimization
(2)
particle physics
(2)
generative model
(2)
hierarchical clustering
(2)
normalizing flow
(2)
variational inference
(1)
manifold learning
(1)
representation learning
(1)
hypergraph learning
(1)
density estimation
(1)
supervised learning
(1)
likelihood-free inference
(1)
feature learning
(1)
markov chain monte carlo
(1)
exact inference
(1)
bayesian inference
(1)
dynamic programming
(1)
robust inference
(1)
posterior inference
(1)
partition function
(1)
Papers
Exact and approximate hierarchical clustering using A*
UAI 2021
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering
AISTATS 2021
Discovering Symbolic Models from Deep Learning with Inductive Biases
NIPS 2020
Set2Graph: Learning Graphs From Sets
NIPS 2020
Flows for simultaneous manifold learning and density estimation
NIPS 2020
Normalizing Flows on Tori and Spheres
ICML 2020
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
NIPS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators
AISTATS 2019
Learning to Pivot with Adversarial Networks
NIPS 2017