Sindy Löwe

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Causal Discovery

Spatio Temporally

Top Venues

VISIGRAPP (5: VISAPP)

Publications

Sindy Löwe, Francesco Locatello, Max Welling
Binding Dynamics in Rotating Features. CoRR (2024)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
BISCUIT: Causal Representation Learning from Binary Interactions. UAI (2023)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. ICLR (2023)
Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
Rotating Features for Object Discovery. CoRR (2023)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
BISCUIT: Causal Representation Learning from Binary Interactions. CoRR (2023)
Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
Rotating Features for Object Discovery. NeurIPS (2023)
Luisa H. B. Liboni, Roberto C. Budzinski, Alexandra N. Busch, Sindy Löwe, Thomas A. Keller, Max Welling, Lyle E. Muller
Image segmentation with traveling waves in an exactly solvable recurrent neural network. CoRR (2023)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
CITRIS: Causal Identifiability from Temporal Intervened Sequences. CoRR (2022)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. CoRR (2022)
Sindy Löwe, David Madras, Richard Z. Shilling, Max Welling
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. CLeaR (2022)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Stratis Gavves
CITRIS: Causal Identifiability from Temporal Intervened Sequences. ICML (2022)
Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling
Complex-Valued Autoencoders for Object Discovery. CoRR (2022)
Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling
Complex-Valued Autoencoders for Object Discovery. Trans. Mach. Learn. Res. 2022 (2022)
Puck de Haan, Sindy Löwe
Contrastive Predictive Coding for Anomaly Detection. CoRR (2021)
Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf
Learning Object-Centric Video Models by Contrasting Sets. CoRR (2020)
Sindy Löwe, David Madras, Richard S. Zemel, Max Welling
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. CoRR (2020)
Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. VISIGRAPP (5: VISAPP) (2019)
Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling
Putting An End to End-to-End: Gradient-Isolated Learning of Representations. NeurIPS (2019)
Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling
Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning. CoRR (2019)
Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. CoRR (2018)