Sindy Löwe - RankMe

22 papers A* 5A 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Artificial Kuramoto Oscillatory Neurons. ICLR Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling
2024	J	`jnl`	Artificial Kuramoto Oscillatory Neurons. CoRR Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling
2024	J	`jnl`	Binding Dynamics in Rotating Features. CoRR Sindy Löwe, Francesco Locatello, Max Welling
2023	A	`conf`	BISCUIT: Causal Representation Learning from Binary Interactions. UAI Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2023	J	`jnl`	BISCUIT: Causal Representation Learning from Binary Interactions. CoRR Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2023	A*	`conf`	Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. ICLR Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2023	J	`jnl`	Image segmentation with traveling waves in an exactly solvable recurrent neural network. CoRR Luisa H. B. Liboni, Roberto C. Budzinski, Alexandra N. Busch, Sindy Löwe, Thomas A. Keller, Max Welling, Lyle E. Muller
2023	A*	`conf`	Rotating Features for Object Discovery. NeurIPS Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
2023	J	`jnl`	Rotating Features for Object Discovery. CoRR Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
2022	—	`conf`	Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. CLeaR Sindy Löwe, David Madras, Richard S. Zemel, Max Welling
2022	A*	`conf`	CITRIS: Causal Identifiability from Temporal Intervened Sequences. ICML Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Stratis Gavves
2022	J	`jnl`	CITRIS: Causal Identifiability from Temporal Intervened Sequences. CoRR Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2022	J	`jnl`	Complex-Valued Autoencoders for Object Discovery. CoRR Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling
2022	J	`jnl`	Complex-Valued Autoencoders for Object Discovery. Trans. Mach. Learn. Res. Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling
2022	J	`jnl`	iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. CoRR Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2021	J	`jnl`	Contrastive Predictive Coding for Anomaly Detection. CoRR Puck de Haan, Sindy Löwe
2020	J	`jnl`	Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. CoRR Sindy Löwe, David Madras, Richard S. Zemel, Max Welling
2020	J	`jnl`	Learning Object-Centric Video Models by Contrasting Sets. CoRR Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf
2019	J	`jnl`	Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning. CoRR Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling
2019	—	`conf`	Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. VISIGRAPP (5: VISAPP) Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger
2019	A*	`conf`	Putting An End to End-to-End: Gradient-Isolated Learning of Representations. NeurIPS Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling
2018	J	`jnl`	Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. CoRR Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger