Kyle Cranmer
9 papers · 2017–2021 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot · Bronze 🏆 Keyword Champion (2)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(52)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(6)
Deep Learning
(5)
Artificial Intelligence
(3)
Models
(3)
Mathematics & Optimization
(2)
Architectures
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Mathematics
(1)
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
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering
AISTATS 2021
Exact and approximate hierarchical clustering using A*
UAI 2021
Discovering Symbolic Models from Deep Learning with Inductive Biases
NeurIPS 2020
Flows for simultaneous manifold learning and density estimation
NeurIPS 2020
Normalizing Flows on Tori and Spheres
ICML 2020
Set2Graph: Learning Graphs From Sets
NeurIPS 2020
Adversarial Variational Optimization of Non-Differentiable Simulators
AISTATS 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
NeurIPS 2019
Learning to Pivot with Adversarial Networks
NeurIPS 2017