We use the symmetrized cosine similarity loss from SimSiam. Model details For CIFAR10, we use pretrained StyleGAN available at the official website of StyleGAN-Ada[31]2. We also experimented with the model with best Inception score3 but did not observe significant difference in results. Linear classification The quality of the pretrained representations is evaluated by training a supervised linear classifier on frozen representationshinthe training set, and then testing itinthe validationset.

The transition dynamics simply mixes an action and a random sampled latent. It then applies an exponential moving average for temporal persistency, the resulting latent is decoded to image using pretrained generator.

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IJCCI 2025 (17th International Joint Conference on Computational Intelligence) received 146 paper submissions from 41 countries. To evaluate each submission, a double-blind paper review was performed by the Program Committee. After a stringent selection process, 36 papers were published and presented as full papers, i.e. completed work (12 pages/25' oral presentation), 83 papers were accepted as short papers (58 as oral presentation). The organizing committee included the IJCCI Conference Chair: Joaquim Filipe, Polytechnic Institute of Setubal, Portugal, and the IJCCI 2025 Program Chairs: Francesco Marcelloni, University of Pisa, Italy, Kurosh Madani, University of Paris-EST Créteil (UPEC), France, and Niki van Stein, Leiden University, Netherlands. At the closing session, the conference acknowledged a few papers that were considered excellent in their class, presenting a "Best Paper Award", "Best Student Paper Award", and "Best Poster Award" for each of the co-located conferences.

Specifically, GSLB systematically investigates the characteristics of GSL in terms of three dimensions: effectiveness, robustness, and complexity .

ICINCO 2025 (22nd International Conference on Informatics in Control, Automation and Robotics) received 158 paper submissions from 42 countries. To evaluate each submission, a double-blind paper review was performed by the Program Committee. After a stringent selection process, 43 papers were published and presented as full papers, i.e. completed work (12 pages/25' oral presentation), 86 papers were accepted as short papers (51 as oral presentation). The organizing committee included the ICINCO Conference Chair: Dimitar Filev, Ford Research, United States, and the ICINCO 2025 Program Chairs: Giuseppina Carla Gini, Politecnico di Milano, Italy, and Radu-Emil Precup, Politehnica University of Timisoara, Romania. At the closing session, the conference acknowledged a few papers that were considered excellent in their class, presenting a "Best Paper Award", "Best Student Paper Award", "Best Poster Award", and "Best Industrial Paper Award" for the conference.

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In particular, we consider group-structured and boundedfdivergence uncertainty sets. Our approach relies on an accelerated method that queries a ball optimization oracle, i.e., a subroutine that minimizes the objective within a small ball around the query point. Our main contribution is efficient implementations of this oracle for DRO objectives.