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Affinity Workshop
Fair Active learning by exploiting causal data structure
Sindhu C M Gowda · Haoran Zhang · Marzyeh Ghassemi
Workshop
Fri 11:09 An Active Learning Reliability Method for Systems with Partially Defined Performance Functions
Jonathan Sadeghi
Workshop
Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis · Demba Ba
Affinity Workshop
Protein Structure Ranking with Atom-level Geometric Representation Learning
Tian Xia · Sarp Aykent
Workshop
Amortized Inference for Causal Structure Learning
Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf
Poster
Thu 9:00 Iterative Structural Inference of Directed Graphs
Aoran Wang · Jun Pang
Workshop
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks
Zhe Li · Andreas Tolias · Xaq Pitkow
Poster
Active Learning for Multiple Target Models
Ying-Peng Tang · Sheng-Jun Huang
Workshop
Fri 11:18 Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning
Zeel B Patel
Poster
Thu 14:00 Pre-activation Distributions Expose Backdoor Neurons
Runkai Zheng · Rongjun Tang · Jianze Li · Li Liu
Workshop
Understanding Optimization Challenges when Encoding to Geometric Structures
Babak Esmaeili · Robin Walters · Heiko Zimmermann · Jan-Willem van de Meent
Poster
Thu 9:00 Amortized Inference for Causal Structure Learning
Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf