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69 Results
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Workshop
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GAN-Flow: A dimension-reduced variational framework for physics-based inverse problems Agnimitra Dasgupta · Dhruv Patel · Deep Ray · Erik Johnson · Assad Oberai |
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Poster
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Thu 14:00 |
Simulation-guided Beam Search for Neural Combinatorial Optimization Jinho Choo · Yeong-Dae Kwon · Jihoon Kim · Jeongwoo Jae · André Hottung · Kevin Tierney · Youngjune Gwon |
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Workshop
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Combinational-convolution for flow-based sampling algorithm Akio Tomiya |
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Workshop
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Addressing out-of-distribution data for flow-based gravitational wave inference Maximilian Dax · Stephen Green · Jonas Wildberger · Jonathan Gair · Michael Puerrer · Jakob Macke · Alessandra Buonanno · Bernhard Schölkopf |
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Poster
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Tue 14:00 |
FlowHMM: Flow-based continuous hidden Markov models Pawel Lorek · Rafal Nowak · Tomasz Trzcinski · Maciej Zieba |
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Poster
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Wed 9:00 |
Flowification: Everything is a normalizing flow Bálint Máté · Samuel Klein · Tobias Golling · François Fleuret |
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Poster
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Learning Optimal Flows for Non-Equilibrium Importance Sampling Yu Cao · Eric Vanden-Eijnden |
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Poster
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Learning Optical Flow from Continuous Spike Streams Rui Zhao · Ruiqin Xiong · Jing Zhao · Zhaofei Yu · Xiaopeng Fan · Tiejun Huang |
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Poster
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Thu 14:00 |
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel |
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Poster
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Wed 9:00 |
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig |
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Poster
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Wed 9:00 |
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference Guillaume Huguet · Daniel Sumner Magruder · Alexander Tong · Oluwadamilola Fasina · Manik Kuchroo · Guy Wolf · Smita Krishnaswamy |
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Poster
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Wed 14:00 |
Bayesian inference via sparse Hamiltonian flows Naitong Chen · Zuheng Xu · Trevor Campbell |