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Graph Kernel Neural Networks
The convolution operator at the core of many modern neural architectures can effectively be seen as performing a dot product between an …
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Graph Kernel Neural Networks
Latent spectral regularization for continual learning
While biological intelligence grows organically as new knowledge is gathered throughout life, Artificial Neural Networks forget …
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Latent spectral regularization for continual learning
A Physically-inspired Approach to the Simulation of Plant Wilting
Plants are among the most complex objects to be modeled in computer graphics. While a large body of work is concerned with structural …
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A Physically-inspired Approach to the Simulation of Plant Wilting
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
CLIP proved that aligning visual and language spaces is key to solving many vision tasks without explicit training, but required to …
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ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
The marine ecosystem is changing at an alarming rate, exhibiting biodiversity loss and the migration of tropical species to temperate …
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Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
Bootstrapping Parallel Anchors for Relative Representations
The use of relative representations for latent embeddings has shown potential in enabling latent space communication and zero-shot …
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Bootstrapping Parallel Anchors for Relative Representations
Certification of Gaussian Boson Sampling via graphs feature vectors and kernels
Gaussian Boson Sampling (GBS) is a non-universal model for quantum computing inspired by the original formulation of the Boson Sampling …
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Certification of Gaussian Boson Sampling via graphs feature vectors and kernels
Few-Shot Object Detection: A Survey
Deep learning approaches have recently raised the bar in many fields, from Natural Language Processing to Computer Vision, by …
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Few-Shot Object Detection: A Survey
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
Computer-aided diagnosis (CAD) is becoming a prominent approach to assist clinicians spanning across multiple fields. These automated …
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Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
Learning Spectral Unions of Partial Deformable 3D Shapes
Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study …
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Learning Spectral Unions of Partial Deformable 3D Shapes