• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 149 matches

• 2024
• 
  Philipp Michael Faller, Leena C. Vankadara, Atalanti-Anastasia Mastakouri, Francesco Locatello, Dominik Janzing:
  Self-Compatibility: Evaluating Causal Discovery without Ground Truth. AISTATS 2024: 4132-4140
• 
  Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang:
  Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CVPR 2024: 23062-23071
• 
  Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker:
  Grounded Object-Centric Learning. ICLR 2024
• 
  Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello:
  Multi-View Causal Representation Learning with Partial Observability. ICLR 2024
• 
  Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi:
  Unsupervised Concept Discovery Mitigates Spurious Correlations. ICML 2024
• 
  Adeel Pervez, Francesco Locatello, Stratis Gavves:
  Mechanistic Neural Networks for Scientific Machine Learning. ICML 2024
• 
  Danru Xu, Dingling Yao, Sébastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, Sara Magliacane:
  A Sparsity Principle for Partially Observable Causal Representation Learning. ICML 2024
• 
  Francesco Locatello, Vanessa Didelez:
  Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California, USA. Proceedings of Machine Learning Research 236, PMLR 2024 [contents]
• 
  Sindy Löwe, Francesco Locatello, Max Welling:
  Binding Dynamics in Rotating Features. CoRR abs/2402.05627 (2024)
• 
  Adeel Pervez, Francesco Locatello, Efstratios Gavves:
  Mechanistic Neural Networks for Scientific Machine Learning. CoRR abs/2402.13077 (2024)
• 
  Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi:
  Unsupervised Concept Discovery Mitigates Spurious Correlations. CoRR abs/2402.13368 (2024)
• 
  Danru Xu, Dingling Yao, Sébastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, Sara Magliacane:
  A Sparsity Principle for Partially Observable Causal Representation Learning. CoRR abs/2403.08335 (2024)
• 
  Alp Eren Sari, Francesco Locatello, Paolo Favaro:
  Two Tricks to Improve Unsupervised Segmentation Learning. CoRR abs/2404.03392 (2024)
• 
  Dingling Yao, Caroline Muller, Francesco Locatello:
  Marrying Causal Representation Learning with Dynamical Systems for Science. CoRR abs/2405.13888 (2024)
• 
  Francesco Montagna, Max Cairney-Leeming, Dhanya Sridhar, Francesco Locatello:
  Demystifying amortized causal discovery with transformers. CoRR abs/2405.16924 (2024)
• 
  Riccardo Cadei, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, Francesco Locatello:
  Smoke and Mirrors in Causal Downstream Tasks. CoRR abs/2405.17151 (2024)
• 
  Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro:
  Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. CoRR abs/2406.07141 (2024)
• 
  Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang:
  Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CoRR abs/2406.09196 (2024)
• 
  Sanketh Vedula, Valentino Maiorca, Lorenzo Basile, Francesco Locatello, Alexander M. Bronstein:
  Scalable unsupervised alignment of general metric and non-metric structures. CoRR abs/2406.13507 (2024)
• 
  Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà:
  Latent Functional Maps. CoRR abs/2406.14183 (2024)
• 
  Valentino Maiorca, Luca Moschella, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
  Latent Space Translation via Inverse Relative Projection. CoRR abs/2406.15057 (2024)
• 
  Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello:
  Score matching through the roof: linear, nonlinear, and latent variables causal discovery. CoRR abs/2407.18755 (2024)
• 
  Valentinos Pariza, Mohammadreza Salehi, Gertjan J. Burghouts, Francesco Locatello, Yuki M. Asano:
  NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency. CoRR abs/2408.11054 (2024)
• 
  Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello:
  Unifying Causal Representation Learning with the Invariance Principle. CoRR abs/2409.02772 (2024)
• 2023
• 
  Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell:
  Image retrieval outperforms diffusion models on data augmentation. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello:
  Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CLeaR 2023: 553-573
• 
  Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello:
  Causal Discovery with Score Matching on Additive Models with Arbitrary Noise. CLeaR 2023: 726-751
• 
  Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello:
  Scalable Causal Discovery with Score Matching. CLeaR 2023: 752-771
• 
  Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf:
  Unsupervised Object Learning via Common Fate. CLeaR 2023: 281-327
• 
  Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He:
  Unsupervised Open-Vocabulary Object Localization in Videos. ICCV 2023: 13701-13709

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