Luca Moschella

Orcid: 0000-0002-0550-7498

According to our database1, Luca Moschella authored at least 19 papers between 2017 and 2024.

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Bibliography

2024
Latent spectral regularization for continual learning.
Pattern Recognit. Lett., 2024

Latent Space Translation via Inverse Relative Projection.
CoRR, 2024

Latent Communication in Artificial Neural Networks.
CoRR, 2024

Zero-Shot Stitching in Reinforcement Learning using Relative Representations.
CoRR, 2024

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

From Charts to Atlas: Merging Latent Spaces into One.
CoRR, 2023

CaSpeR: Latent Spectral Regularization for Continual Learning.
CoRR, 2023

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Latent Space Translation via Semantic Alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Relative representations enable zero-shot latent space communication.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Bootstrapping Parallel Anchors for Relative Representations.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
Explanatory Learning: Beyond Empiricism in Neural Networks.
CoRR, 2022

Learning Spectral Unions of Partial Deformable 3D Shapes.
Comput. Graph. Forum, 2022

Metric Based Few-Shot Graph Classification.
Proceedings of the Learning on Graphs Conference, 2022

2021
Spectral Unions of Partial Deformable 3D Shapes.
CoRR, 2021

Shape Registration in the Time of Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2017
Performance variations of the Bayesian model of peer-assessment implemented in OpenAnswer response to modifications of the number of peers assessed and of the quality of the class.
Proceedings of the 16th International Conference on Information Technology Based Higher Education and Training, 2017

Effects of Network Topology on the OpenAnswer's Bayesian Model of Peer Assessment.
Proceedings of the Data Driven Approaches in Digital Education, 2017


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