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Poster
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Thu 8:45
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Bayesian Active Causal Discovery with Multi-Fidelity Experiments
Zeyu Zhang · Chaozhuo Li · Xu Chen · Xing Xie
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Workshop
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Integrating Protein Structure Prediction and Bayesian Optimization for Peptide Design
Negin Manshour · Fei He · Duolin Wang · Dong Xu
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Poster
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Wed 15:00
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A Bayesian Take on Gaussian Process Networks
Enrico Giudice · Jack Kuipers · Giusi Moffa
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Oral
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Wed 8:30
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Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
Kevin Ellis
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Workshop
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Modeling habituation in infants and adults using rational curiosity over perceptual embeddings
Gal Raz · Anjie Cao · Rebecca Saxe · Michael C Frank
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Workshop
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Hessian-Free Laplace in Bayesian Deep Learning
James McInerney · Nathan Kallus
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Poster
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Wed 8:45
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Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
Kevin Ellis
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Workshop
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Transformers Can Learn To Solve Linear-Inverse Problems In-Context
Kabir Ahuja · Madhur Panwar · Navin Goyal
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Poster
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Thu 8:45
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A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
Veit David Wild · Sahra Ghalebikesabi · Dino Sejdinovic · Jeremias Knoblauch
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Workshop
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Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening
Zhonglin Cao · Simone Sciabola · Ye Wang
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Oral
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Thu 8:15
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A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
Veit David Wild · Sahra Ghalebikesabi · Dino Sejdinovic · Jeremias Knoblauch
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Workshop
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Data-driven Prior Learning for Bayesian Optimisation
Sigrid Passano Hellan · Christopher G Lucas · Nigel Goddard
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