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Optimal work extraction and mutual information in a generalized Szilárd engine [PDF]
Physical Review E, 2021 A 1929 Gedankenexperiment proposed by Szilárd, often referred to as "Szilárd's engine", has served as a foundation for computing fundamental thermodynamic bounds to information processing. While Szilárd's original box could be partitioned into two halves and contains one gas molecule, we calculate here the maximal average work that can be extracted in ...
Juyong Song +4 more
openaire +3 more sources
Dreamix: Video Diffusion Models are General Video Editors [PDF]
arXiv.org, 2023 Text-driven image and video diffusion models have recently achieved unprecedented generation realism. While diffusion models have been successfully applied for image editing, very few works have done so for video editing.
Eyal Molad +7 more
semanticscholar +1 more source
Mathematical statistical analysis and its results in ensuring information-resource integration [PDF]
E3S Web of Conferences, 2023 The article considers the mathematical statistical analysis of the organization of experimental works in the view of information-resource integration. It ended with recommendations for improving the methodology of information-resource integration in the ...
Pulotova Yulduz
doaj +1 more source
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing [PDF]
Neural Information Processing Systems, 2023 We study the problem of learning causal representations from unknown, latent interventions in a general setting, where the latent distribution is Gaussian but the mixing function is completely general.
Simon Buchholz +5 more
semanticscholar +1 more source
General Cutting Planes for Bound-Propagation-Based Neural Network Verification [PDF]
Neural Information Processing Systems, 2022 Bound propagation methods, when combined with branch and bound, are among the most effective methods to formally verify properties of deep neural networks such as correctness, robustness, and safety. However, existing works cannot handle the general form
Huan Zhang +7 more
semanticscholar +1 more source
General Instance Distillation for Object Detection [PDF]
Computer Vision and Pattern Recognition, 2021 In recent years, knowledge distillation has been proved to be an effective solution for model compression. This approach can make lightweight student models acquire the knowledge extracted from cumbersome teacher models.
Xing Dai +6 more
semanticscholar +1 more source
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences [PDF]
Neural Information Processing Systems, 2023 Goal-Conditioned Reinforcement Learning (RL) problems often have access to sparse rewards where the agent receives a reward signal only when it has achieved the goal, making policy optimization a difficult problem.
Siddhant Agarwal +3 more
semanticscholar +1 more source
Doğal Afetler ve Çevre Dergisi, 2023 The mass movement towards stream beds and their accumulation there may cause flood events as a result of landslide events. In this study, Devrek Landslide, which occurred in 2015, was investigated by using a remote sensing technique. The Çomaklar stream
Şerife Pınar Güvel +2 more
doaj +1 more source
Tarih Dergisi, 2022 The commercial and military relations of the Ottomans with the Venetians, Genoese, and then Florentines after the conquest of Istanbul triggered the desire for receiving information from each other in regarding all respects of their cultures since the ...
Güner Doğan
doaj +1 more source
U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion [PDF]
ACM Multimedia, 2022 In image fusion tasks, images obtained from different sources exhibit distinct properties. Consequently, treating them uniformly with a single-branch network can lead to inadequate feature extraction.
Siran Peng +3 more
semanticscholar +1 more source