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06/16/2023
BISCUIT: Causal Representation Learning from Binary Interactions
Identifying the causal variables of an environment and how to intervene ...
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06/01/2023
Rotating Features for Object Discovery
The binding problem in human cognition, concerning how the brain represe...
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06/13/2022
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects
Causal representation learning is the task of identifying the underlying...
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04/05/2022
Complex-Valued Autoencoders for Object Discovery
Object-centric representations form the basis of human perception and en...
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02/07/2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Understanding the latent causal factors of a dynamical system from visua...
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07/16/2021
Contrastive Predictive Coding for Anomaly Detection
Reliable detection of anomalies is crucial when deploying machine learni...
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06/18/2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Standard causal discovery methods must fit a new model whenever they enc...
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05/28/2019
Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning
We propose a novel deep learning method for local self-supervised repres...
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07/05/2018
