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Workshop
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Probabilistic Fusion Approach for Robust Battery Prognostics
Jokin Alcibar
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Workshop
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Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors
Finn Schmidt · Suhas Shrinivasan · Polina Turishcheva · Fabian Sinz
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Poster
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Wed 11:00
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[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
Batu Helvacioglu · Ana Vasilcoiu · Thijs Stessen · Thies Kersten
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Workshop
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RNAgrail: graph neural network and diffusion model for RNA 3D structure prediction
Marek Justyna
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Poster
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Thu 11:00
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A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models
Shivvrat Arya · Tahrima Rahman · Vibhav Gogate
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Poster
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Wed 16:30
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Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
Amber Hu · David Zoltowski · Aditya Nair · David Anderson · Lea Duncker · Scott Linderman
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Workshop
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HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction
Gian Marco Visani · Michael Pun · William Galvin · Eric Daniel · Kevin Borisiak · Utheri Wagura · Armita Nourmohammad
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Workshop
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Probabilistic predictions with Fourier neural operators
Christopher Bülte · Philipp Scholl · Gitta Kutyniok
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Poster
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Wed 16:30
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On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
Boyao Li · Alexander Thomson · houssam nassif · Matthew Engelhard · David Page
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Poster
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Wed 11:00
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Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
Joel Oskarsson · Tomas Landelius · Marc Deisenroth · Fredrik Lindsten
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Workshop
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Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
Pol Timmer · Koen Minartz · Vlado Menkovski
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Poster
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Wed 16:30
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Generating Origin-Destination Matrices in Neural Spatial Interaction Models
Ioannis Zachos · Mark Girolami · Theodoros Damoulas
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