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ORCIDSindy Löwe
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2020 – today
- 2024
[i12]Sindy Löwe, Francesco Locatello, Max Welling:
Binding Dynamics in Rotating Features. CoRR abs/2402.05627 (2024)- 2023
- [c7]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 - [c6]Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling:
Rotating Features for Object Discovery. NeurIPS 2023 - [c5]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. UAI 2023: 1263-1273 - [i11]Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling:
Rotating Features for Object Discovery. CoRR abs/2306.00600 (2023) - [i10]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. CoRR abs/2306.09643 (2023) - [i9]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 abs/2311.16943 (2023) - 2022
- [j1]Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling:
Complex-Valued Autoencoders for Object Discovery. Trans. Mach. Learn. Res. 2022 (2022) - [c4]Sindy Löwe, David Madras, Richard S. Zemel, Max Welling:
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. CLeaR 2022: 509-525 - [c3]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Stratis Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. ICML 2022: 13557-13603 - [i8]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. CoRR abs/2202.03169 (2022) - [i7]Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling:
Complex-Valued Autoencoders for Object Discovery. CoRR abs/2204.02075 (2022) - [i6]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. CoRR abs/2206.06169 (2022) - 2021
- [i5]Puck de Haan, Sindy Löwe:
Contrastive Predictive Coding for Anomaly Detection. CoRR abs/2107.07820 (2021) - 2020
- [i4]Sindy Löwe, David Madras, Richard S. Zemel, Max Welling:
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. CoRR abs/2006.10833 (2020) - [i3]Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf:
Learning Object-Centric Video Models by Contrasting Sets. CoRR abs/2011.10287 (2020)
2010 – 2019
- 2019
- [c2]Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling:
Putting An End to End-to-End: Gradient-Isolated Learning of Representations. NeurIPS 2019: 3033-3045 - [c1]Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger:
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. VISIGRAPP (5: VISAPP) 2019: 372-380 - [i2]Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling:
Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning. CoRR abs/1905.11786 (2019) - 2018
- [i1]Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger:
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. CoRR abs/1807.02011 (2018)
Coauthor Index
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