Emanuele Rodolà

Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces CVPR 2025 MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs ICML 2025 Mergenetic: a Simple Evolutionary Model Merging Library ACL 2025 Task Singular Vectors: Reducing Task Interference in Model Merging CVPR 2025 Update Your Transformer to the Latest Release: Re-Basin of Task Vectors ICML 2025 $C^2M^3$: Cycle-Consistent Multi-Model Merging NeurIPS 2024 From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication ICLR 2024 Latent Functional Maps: a spectral framework for representation alignment NeurIPS 2024 Multi-Source Diffusion Models for Simultaneous Music Generation and Separation ICLR 2024 ReMatching: Low-Resolution Representations for Scalable Shape Correspondence ECCV 2024 Vector Quantile Regression on Manifolds AISTATS 2024 Accelerating Transformer Inference for Translation via Parallel Decoding ACL 2023 ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training NeurIPS 2023 Latent Autoregressive Source Separation AAAI 2023 Latent Space Translation via Semantic Alignment NeurIPS 2023 Leveraging sparse and shared feature activations for disentangled representation learning NeurIPS 2023 Relative representations enable zero-shot latent space communication ICLR 2023 3D Human Pose Estimation Using Möbius Graph Convolutional Networks ECCV 2022 Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching NeurIPS 2022 Learning disentangled representations via product manifold projection ICML 2021 Shape Registration in the Time of Transformers NeurIPS 2021 Universal Spectral Adversarial Attacks for Deformable Shapes CVPR 2021 LIMP: Learning Latent Shape Representations with Metric Preservation Priors ECCV 2020 Towards Precise Completion of Deformable Shapes ECCV 2020 GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching CVPR 2019 Isospectralization, or How to Hear Shape, Style, and Correspondence CVPR 2019 Unsupervised Learning of Dense Shape Correspondence CVPR 2019 Deep Functional Maps: Structured Prediction for Dense Shape Correspondence ICCV 2017 Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs CVPR 2017 Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space CVPR 2017 Efficient Globally Optimal 2D-To-3D Deformable Shape Matching CVPR 2016 Learning shape correspondence with anisotropic convolutional neural networks NeurIPS 2016 Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction CVPR 2015 Dense Non-Rigid Shape Correspondence using Random Forests CVPR 2014 Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras? CVPR 2013 Elastic Net Constraints for Shape Matching ICCV 2013