Latest
- Navigating the Latent Space Dynamics of Neural Models
- Papers accepted at CVPR 2025
- Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces
- Latent Space Translation via Inverse Relative Projection
- From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
- Latent spectral regularization for continual learning
- Paper accepted as Spotlight at ICLR 2024
- ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
- Latent Space Translation via Semantic Alignment
- From Charts to Atlas: Merging Latent Spaces into One
- Zero-shot stitching in Reinforcement Learning using Relative Representations
- Powermanim
- Bootstrapping Parallel Anchors for Relative Representations
- Our paper "Relative representations enable zero-shot latent space communication" was accepted to ICLR 2023 as an Oral (Notable Top 5%) presentation!
- Relative representations enable zero-shot latent space communication
- Metric Based Few-Shot Graph Classification
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
- Learning Spectral Unions of Partial Deformable 3D Shapes
- Explanatory learning: Beyond empiricism in neural networks
- Shape registration in the time of transformers
- NN Template
- Effects of Network Topology on the OpenAnswer's Bayesian Model of Peer Assessment
- 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