Alert button
Picture for Kyle Cranmer

Kyle Cranmer

Alert button

Flows for simultaneous manifold learning and density estimation

Mar 31, 2020
Johann Brehmer, Kyle Cranmer

Figure 1 for Flows for simultaneous manifold learning and density estimation
Figure 2 for Flows for simultaneous manifold learning and density estimation
Figure 3 for Flows for simultaneous manifold learning and density estimation
Figure 4 for Flows for simultaneous manifold learning and density estimation
Viaarxiv icon

Equivariant flow-based sampling for lattice gauge theory

Mar 13, 2020
Gurtej Kanwar, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan

Figure 1 for Equivariant flow-based sampling for lattice gauge theory
Figure 2 for Equivariant flow-based sampling for lattice gauge theory
Figure 3 for Equivariant flow-based sampling for lattice gauge theory
Figure 4 for Equivariant flow-based sampling for lattice gauge theory
Viaarxiv icon

Compact Representation of Uncertainty in Hierarchical Clustering

Feb 26, 2020
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji-Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum

Figure 1 for Compact Representation of Uncertainty in Hierarchical Clustering
Figure 2 for Compact Representation of Uncertainty in Hierarchical Clustering
Figure 3 for Compact Representation of Uncertainty in Hierarchical Clustering
Figure 4 for Compact Representation of Uncertainty in Hierarchical Clustering
Viaarxiv icon

Set2Graph: Learning Graphs From Sets

Feb 20, 2020
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman

Figure 1 for Set2Graph: Learning Graphs From Sets
Figure 2 for Set2Graph: Learning Graphs From Sets
Figure 3 for Set2Graph: Learning Graphs From Sets
Figure 4 for Set2Graph: Learning Graphs From Sets
Viaarxiv icon

Normalizing Flows on Tori and Spheres

Feb 06, 2020
Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer

Figure 1 for Normalizing Flows on Tori and Spheres
Figure 2 for Normalizing Flows on Tori and Spheres
Figure 3 for Normalizing Flows on Tori and Spheres
Figure 4 for Normalizing Flows on Tori and Spheres
Viaarxiv icon

The frontier of simulation-based inference

Nov 14, 2019
Kyle Cranmer, Johann Brehmer, Gilles Louppe

Figure 1 for The frontier of simulation-based inference
Figure 2 for The frontier of simulation-based inference
Figure 3 for The frontier of simulation-based inference
Viaarxiv icon

Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning

Oct 17, 2019
Johann Brehmer, Siddharth Mishra-Sharma, Joeri Hermans, Gilles Louppe, Kyle Cranmer

Figure 1 for Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
Figure 2 for Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
Figure 3 for Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
Figure 4 for Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
Viaarxiv icon

Hamiltonian Graph Networks with ODE Integrators

Sep 27, 2019
Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer, Peter Battaglia

Figure 1 for Hamiltonian Graph Networks with ODE Integrators
Figure 2 for Hamiltonian Graph Networks with ODE Integrators
Figure 3 for Hamiltonian Graph Networks with ODE Integrators
Figure 4 for Hamiltonian Graph Networks with ODE Integrators
Viaarxiv icon