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From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
It has been observed that representations learned by distinct neural networks conceal structural similarities when the models are …
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From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting
We present GSEdit, a pipeline for text-guided 3D object editing based on Gaussian Splatting models. Our method enables the editing of …
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GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting
Zero-Shot Duet Singing Voices Separation with Diffusion Models
In recent studies, diffusion models have shown promise as priors for solving audio inverse problems, including source separation. These …
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Zero-Shot Duet Singing Voices Separation with Diffusion Models
Attention-likelihood relationship in transformers
We analyze how large language models (LLMs) represent out-of-context words, investigating their reliance on the given context to …
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Attention-likelihood relationship in transformers
Bloom: A 176b-parameter open-access multilingual language model
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language …
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Bloom: A 176b-parameter open-access multilingual language model
Smoothness and effective regularizations in learned embeddings for shape matching
Many innovative applications require establishing correspondences among 3D geometric objects. However, the countless possible …
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Smoothness and effective regularizations in learned embeddings for shape matching
AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes
The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide available collections of diabetic patient …
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AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes