Zobrazeno 1 - 10
of 16 425
pro vyhledávání: '"Ciftci ON"'
Autor:
Taşel, Faris Serdar, Çiftci, Efe
Recent studies suggest a potential link between the physical structure of mitochondria and neurodegenerative diseases. With advances in Electron Microscopy techniques, it has become possible to visualize the boundary and internal membrane structures
Externí odkaz:
http://arxiv.org/abs/2409.11974
Autor:
Mehta, Shaunak A., Ciftci, Yusuf Umut, Ramachandran, Balamurugan, Bansal, Somil, Losey, Dylan P.
Behavior cloning is a common imitation learning paradigm. Under behavior cloning the robot collects expert demonstrations, and then trains a policy to match the actions taken by the expert. This works well when the robot learner visits states where t
Externí odkaz:
http://arxiv.org/abs/2408.06246
In an era of increasing privacy concerns for our online presence, we propose that the decision to appear in a piece of content should only belong to the owner of the body. Although some automatic approaches for full-body anonymization have been propo
Externí odkaz:
http://arxiv.org/abs/2406.09553
Large language models (LLMs) have shown impressive capabilities in tasks such as machine translation, text summarization, question answering, and solving complex mathematical problems. However, their primary training on data-rich languages like Engli
Externí odkaz:
http://arxiv.org/abs/2406.05569
Behavior Cloning is a popular approach to Imitation Learning, in which a robot observes an expert supervisor and learns a control policy. However, behavior cloning suffers from the "compounding error" problem - the policy errors compound as it deviat
Externí odkaz:
http://arxiv.org/abs/2404.05249
Let $ H $ be a connected subgraph of a graph $ G $. The structure connectivity of $ G $, denoted by $ \kappa(G;H) $, is the minimum number of a set of connected subgraphs in $ G $, whose removal disconnects $ G $ and each element in the set is isomor
Externí odkaz:
http://arxiv.org/abs/2311.11323
Autor:
Unlu, Eren, Ciftci, Unver
Due to the limited availability of high quality datasets for training sentence embeddings in Turkish, we propose a training methodology and a regimen to develop a sentence embedding model. The central idea is simple but effective : is to fine-tune a
Externí odkaz:
http://arxiv.org/abs/2311.09748
Autor:
Ciftci, Kerem, Hackl, Klaus
Model-free data-driven computational mechanics, first proposed by Kirchdoerfer and Ortiz, replace phenomenological models with numerical simulations based on sample data sets in strain-stress space. In this study, we integrate this paradigm within ph
Externí odkaz:
http://arxiv.org/abs/2310.20308
Autor:
Unlu, Eren, Ciftci, Unver
Large Language Models (LLMs) are evolving to integrate multiple modalities, such as text, image, and audio into a unified linguistic space. We envision a future direction based on this framework where conceptual entities defined in sequences of text
Externí odkaz:
http://arxiv.org/abs/2310.18390
Generative AI is on the rise, enabling everyone to produce realistic content via publicly available interfaces. Especially for guided image generation, diffusion models are changing the creator economy by producing high quality low cost content. In p
Externí odkaz:
http://arxiv.org/abs/2309.03198