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12 Results
Poster
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Thu 9:00 |
A Novel Approach for Constrained Optimization in Graphical Models Sara Rouhani · Tahrima Rahman · Vibhav Gogate |
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Poster
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Thu 9:00 |
Probabilistic Circuits for Variational Inference in Discrete Graphical Models Andy Shih · Stefano Ermon |
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Poster
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Thu 9:00 |
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks Minh Vu · My T. Thai |
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Spotlight
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Thu 19:00 |
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds Jonathan Kelner · Frederic Koehler · Raghu Meka · Ankur Moitra |
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Poster
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Thu 21:00 |
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds Jonathan Kelner · Frederic Koehler · Raghu Meka · Ankur Moitra |
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Poster
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Thu 9:00 |
Efficient Learning of Discrete Graphical Models Marc Vuffray · Sidhant Misra · Andrey Lokhov |
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Poster
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Wed 9:00 |
The Diversified Ensemble Neural Network Shaofeng Zhang · Meng Liu · Junchi Yan |
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Poster
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Thu 21:00 |
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model Jiaxi Ying · José Vinícius de Miranda Cardoso · Daniel Palomar |
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Poster
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Thu 9:00 |
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models Adarsh Keshav Jeewajee · Leslie Kaelbling |
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Poster
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Wed 9:00 |
Learning of Discrete Graphical Models with Neural Networks Abhijith Jayakumar · Andrey Lokhov · Sidhant Misra · Marc Vuffray |
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Poster
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Tue 21:00 |
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang · Mingming Gong · Petar Stojanov · Biwei Huang · QINGSONG LIU · Clark Glymour |
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Poster
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Thu 9:00 |
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking Anqi Wu · Estefany Kelly Buchanan · Matthew Whiteway · Michael Schartner · Guido Meijer · Jean-Paul Noel · Erica Rodriguez · Claire Everett · Amy Norovich · Evan Schaffer · Neeli Mishra · C. Daniel Salzman · Dora Angelaki · Andrés Bendesky · The International Brain Laboratory The International Brain Laboratory · John Cunningham · Liam Paninski |