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Foundation Models on a Budget: Approximating Blocks in Large Vision Models
Deep neural networks often learn similar internal representations, both across different models and within their own layers. While …
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Foundation Models on a Budget: Approximating Blocks in Large Vision Models
LoopGen: Training-Free Loopable Music Generation
Loops–short audio segments designed for seamless repetition–are central to many music genres, particularly those rooted in …
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LoopGen: Training-Free Loopable Music Generation
STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning
Recent advances in generative models have made it possible to create high-quality, coherent music, with some systems delivering …
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STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning
Mergenetic: a Simple Evolutionary Model Merging Library
Model merging allows combining the capabilities of existing models into a new one - post hoc, without additional training. This has …
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Mergenetic: a Simple Evolutionary Model Merging Library
MERGE3: Efficient Evolutionary Merging on Consumer-grade GPUs
Evolutionary model merging enables the creation of high-performing multi-task models but remains computationally prohibitive for …
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MERGE3: Efficient Evolutionary Merging on Consumer-grade GPUs
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
Foundation models serve as the backbone for numerous specialized models developed through fine-tuning. However, when the underlying …
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Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
Model-based Metric 3D Shape and Motion Reconstruction of Wild Bottlenose Dolphins in Drone-Shot Videos
We address the problem of estimating the metric 3D shape and motion of wild dolphins from monocular video, with the aim of assessing …
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Model-based Metric 3D Shape and Motion Reconstruction of Wild Bottlenose Dolphins in Drone-Shot Videos
Task Singular Vectors: Reducing Task Interference in Model Merging
Task Arithmetic has emerged as a simple yet effective method to merge models without additional training. However, by treating entire …
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Task Singular Vectors: Reducing Task Interference in Model Merging
Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces
In this work, we investigate the possibility of a posteriori alignment of representations obtained from uni-modal 3D encoders compared …
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Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models
In this article, we explore the potential of using latent diffusion models, a family of powerful generative models, for the task of …
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Naturalistic Music Decoding from EEG Data via Latent Diffusion Models