Fast 3D surface reconstruction by unambiguous compound phase coding. - Andrea Albarelli; Emanuele Rodolà; Samuel Rota Bulò; Andrea Torsello (ICCV Workshops, 2009)

Robust Camera Calibration using Inaccurate Targets. - Andrea Albarelli; Emanuele Rodolà; Andrea Torsello (BMVC, 2010)

A game-theoretic approach to fine surface registration without initial motion estimation. - Andrea Albarelli; Emanuele Rodolà; Andrea Torsello (CVPR, 2010)

Loosely Distinctive Features for Robust Surface Alignment. - Andrea Albarelli; Emanuele Rodolà; Andrea Torsello (ECCV (5), 2010)

Robust Figure Extraction on Textured Background: A Game-Theoretic Approach. - Andrea Albarelli; Emanuele Rodolà; Alberto Cavallarin; Andrea Torsello (ICPR, 2010)

A Game-Theoretic Approach to Robust Selection of Multi-view Point Correspondence. - Emanuele Rodolà; Andrea Albarelli; Andrea Torsello (ICPR, 2010)

A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-view Feature Matching. - Emanuele Rodolà; Andrea Albarelli; Andrea Torsello (SSPR/SPR, 2010)

A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes. - Andrea Albarelli; Emanuele Rodolà; Filippo Bergamasco; Andrea Torsello (3DIMPVT, 2011)

Sampling Relevant Points for Surface Registration. - Andrea Torsello; Emanuele Rodolà; Andrea Albarelli (3DIMPVT, 2011)

RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience. - Filippo Bergamasco; Andrea Albarelli; Emanuele Rodolà; Andrea Torsello (CVPR, 2011)

Multiview registration via graph diffusion of dual quaternions. - Andrea Torsello; Emanuele Rodolà; Andrea Albarelli (CVPR, 2011)

A game-theoretic approach to deformable shape matching. - Emanuele Rodolà; Alexander M. Bronstein; Andrea Albarelli; Filippo Bergamasco; Andrea Torsello (CVPR, 2012)

Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective. - Andrea Albarelli; Emanuele Rodolà; Andrea Torsello (Int. J. Comput. Vis., 2012)

Sparse and robust matching problem for 3D shape analysis. - Emanuele Rodolà (2012)

Efficient Shape Matching using Vector Extrapolation. - Emanuele Rodolà; Tatsuya Harada; Yasuo Kuniyoshi; Daniel Cremers (BMVC, 2013)

Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras? - Filippo Bergamasco; Andrea Albarelli; Emanuele Rodolà; Andrea Torsello (CVPR, 2013)

Elastic Net Constraints for Shape Matching. - Emanuele Rodolà; Andrea Torsello; Tatsuya Harada; Yasuo Kuniyoshi; Daniel Cremers (ICCV, 2013)

A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes. - Emanuele Rodolà; Andrea Albarelli; Filippo Bergamasco; Andrea Torsello (Int. J. Comput. Vis., 2013)

Stable and fast techniques for unambiguous compound phase coding. - Andrea Torsello; Andrea Albarelli; Emanuele Rodolà (Image Vis. Comput., 2013)

A Game-Theoretic Approach to Pairwise Clustering and Matching. - Marcello Pelillo; Samuel Rota Bulò; Andrea Torsello; Andrea Albarelli; Emanuele Rodolà (Similarity-Based Pattern Analysis and Recognition, 2013)

Learning Similarities for Rigid and Non-rigid Object Detection. - Asako Kanezaki; Emanuele Rodolà; Daniel Cremers; Tatsuya Harada (3DV, 2014)

Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis. - Thomas Windheuser; Matthias Vestner; Emanuele Rodolà; Rudolph Triebel; Daniel Cremers (BMVC, 2014)

Dense Non-rigid Shape Correspondence Using Random Forests. - Emanuele Rodolà; Samuel Rota Bulò; Thomas Windheuser; Matthias Vestner; Daniel Cremers (CVPR, 2014)

Anisotropic Laplace-Beltrami Operators for Shape Analysis. - Mathieu Andreux; Emanuele Rodolà; Mathieu Aubry; Daniel Cremers (ECCV Workshops (4), 2014)

Robust Region Detection via Consensus Segmentation of Deformable Shapes. - Emanuele Rodolà; Samuel Rota Bulò; Daniel Cremers (Comput. Graph. Forum, 2014)

Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. - Filippo Bergamasco; Andrea Albarelli; Luca Cosmo; Andrea Torsello; Emanuele Rodolà; Daniel Cremers (CVPR, 2015)

Point-wise Map Recovery and Refinement from Functional Correspondence. - Emanuele Rodolà; Michael Möller 001; Daniel Cremers (VMV, 2015)

Realistic photometric stereo using partial differential irradiance equation ratios. - Roberto Mecca; Emanuele Rodolà; Daniel Cremers (Comput. Graph., 2015)

Fast and accurate surface alignment through an isometry-enforcing game. - Andrea Albarelli; Emanuele Rodolà; Andrea Torsello (Pattern Recognit., 2015)

A simple and effective relevance-based point sampling for 3D shapes. - Emanuele Rodolà; Andrea Albarelli; Daniel Cremers; Andrea Torsello (Pattern Recognit. Lett., 2015)

Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence. - Matthias Vestner; Emanuele Rodolà; Thomas Windheuser; Samuel Rota Bulò; Daniel Cremers (Perspectives in Shape Analysis, 2016)

Matching Deformable Objects in Clutter. - Luca Cosmo; Emanuele Rodolà; Jonathan Masci; Andrea Torsello; Michael M. Bronstein (3DV, 2016)

Coupled Functional Maps. - Davide Eynard; Emanuele Rodolà; Klaus Glashoff; Michael M. Bronstein (3DV, 2016)

Shape Analysis with Anisotropic Windowed Fourier Transform. - Simone Melzi; Emanuele Rodolà; Umberto Castellani; Michael M. Bronstein (3DV, 2016)

Partial Matching of Deformable Shapes. - Luca Cosmo; Emanuele Rodolà; Michael M. Bronstein; Andrea Torsello; Daniel Cremers; Yusuf Sahillioglu (3DOR@Eurographics, 2016)

Matching of Deformable Shapes with Topological Noise. - Zorah Lähner; Emanuele Rodolà; Michael M. Bronstein; Daniel Cremers; Oliver Burghard; Luca Cosmo; Alexander Dieckmann; Reinhard Klein; Yusuf Sahillioglu (3DOR@Eurographics, 2016)

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching. - Zorah Lähner; Emanuele Rodolà; Frank R. Schmidt; Michael M. Bronstein; Daniel Cremers (CVPR, 2016)

Deep Learning for Shape Analysis. - Michael M. Bronstein; Evangelos Kalogerakis; Emanuele Rodolà; Jonathan Masci; Davide Boscaini (Eurographics (Tutorials), 2016)

A game-theoretical approach for joint matching of multiple feature throughout unordered images. - Luca Cosmo; Andrea Albarelli; Filippo Bergamasco; Andrea Torsello; Emanuele Rodolà; Daniel Cremers (ICPR, 2016)

Learning shape correspondence with anisotropic convolutional neural networks. - Davide Boscaini; Jonathan Masci; Emanuele Rodolà; Michael M. Bronstein (NIPS, 2016)

Geometric deep learning. - Jonathan Masci; Emanuele Rodolà; Davide Boscaini; Michael M. Bronstein; Hao Li 015 (SIGGRAPH ASIA Courses, 2016)

Computing and processing correspondences with functional maps. - Maks Ovsjanikov; Etienne Corman; Michael M. Bronstein; Emanuele Rodolà; Mirela Ben-Chen; Leonidas J. Guibas; Frédéric Chazal; Alexander M. Bronstein (SIGGRAPH ASIA Courses, 2016)

Anisotropic Diffusion Descriptors. - Davide Boscaini; Jonathan Masci; Emanuele Rodolà; Michael M. Bronstein; Daniel Cremers (Comput. Graph. Forum, 2016)

Non-Rigid Puzzles. - Or Litany; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein; Daniel Cremers (Comput. Graph. Forum, 2016)

Bayesian Inference of Bijective Non-Rigid Shape Correspondence. - Matthias Vestner; Roee Litman; Alexander M. Bronstein; Emanuele Rodolà; Daniel Cremers (CoRR, 2016)

An Accurate and Robust Artificial Marker Based on Cyclic Codes. - Filippo Bergamasco; Andrea Albarelli; Luca Cosmo; Emanuele Rodolà; Andrea Torsello (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations. - Andrea Gasparetto; Luca Cosmo; Emanuele Rodolà; Michael M. Bronstein; Andrea Torsello (3DV, 2017)

Efficient Deformable Shape Correspondence via Kernel Matching. - Matthias Vestner; Zorah Lähner; Amit Boyarski; Or Litany; Ron Slossberg; Tal Remez; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel; Daniel Cremers (3DV, 2017)

Deformable Shape Retrieval with Missing Parts. - Emanuele Rodolà; Luca Cosmo; Or Litany; Michael M. Bronstein; Alexander M. Bronstein; Nicolas Audebert; A. Ben Hamza; Alexandre Boulch; Umberto Castellani; Minh N. Do; Duc Anh Duong; Takahiko Furuya; et al. (3DOR@Eurographics, 2017)

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. - Federico Monti; Davide Boscaini; Jonathan Masci; Emanuele Rodolà; Jan Svoboda; Michael M. Bronstein (CVPR, 2017)

Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space. - Matthias Vestner; Roee Litman; Emanuele Rodolà; Alexander M. Bronstein; Daniel Cremers (CVPR, 2017)

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. - Or Litany; Tal Remez; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein (ICCV, 2017)

Consistent Partial Matching of Shape Collections via Sparse Modeling. - Luca Cosmo; Emanuele Rodolà; Andrea Albarelli; Facundo Mémoli; Daniel Cremers (Comput. Graph. Forum, 2017)

Fully Spectral Partial Shape Matching. - Or Litany; Emanuele Rodolà; Alexander M. Bronstein; Michael M. Bronstein (Comput. Graph. Forum, 2017)

Partial Functional Correspondence. - Emanuele Rodolà; Luca Cosmo; Michael M. Bronstein; Andrea Torsello; Daniel Cremers (Comput. Graph. Forum, 2017)

Regularized Pointwise Map Recovery from Functional Correspondence. - Emanuele Rodolà; Michael Möller 001; Daniel Cremers (Comput. Graph. Forum, 2017)

Structured Prediction of Dense Maps between Geometric Domains. - Emanuele Rodolà (ICASSP, 2018)

Functional Maps on Product Manifolds. - Emanuele Rodolà; Zorah Lähner; Alex M. Bronstein; Michael M. Bronstein; Justin Solomon 001 (SGP (Posters), 2018)

Localized Manifold Harmonics for Spectral Shape Analysis. - Simone Melzi; Emanuele Rodolà; Umberto Castellani; Michael M. Bronstein (Comput. Graph. Forum, 2018)

Improved Functional Mappings via Product Preservation. - Dorian Nogneng; Simone Melzi; Emanuele Rodolà; Umberto Castellani; Michael M. Bronstein; Maks Ovsjanikov (Comput. Graph. Forum, 2018)

Self-supervised Learning of Dense Shape Correspondence. - Oshri Halimi; Or Litany; Emanuele Rodolà; Alexander M. Bronstein; Ron Kimmel (CoRR, 2018)

High-Resolution Augmentation for Automatic Template-Based Matching of Human Models. - Riccardo Marin; Simone Melzi; Emanuele Rodolà; Umberto Castellani (3DV, 2019)

Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. - Arianna Rampini; Irene Tallini; Maks Ovsjanikov; Alexander M. Bronstein; Emanuele Rodolà (3DV, 2019)

Shape Correspondence with Isometric and Non-Isometric Deformations. - Roberto M. Dyke; C. Stride; Yu-Kun Lai; Paul L. Rosin; Mathieu Aubry; Amit Boyarski; Alexander M. Bronstein; Michael M. Bronstein; Daniel Cremers; Matthew Fisher; Thibault Groueix; Daoliang Guo; et al. (3DOR@Eurographics, 2019)

Matching Humans with Different Connectivity. - Simone Melzi; Riccardo Marin; Emanuele Rodolà; Umberto Castellani; Jing Ren 004; Adrien Poulenard; Peter Wonka; Maks Ovsjanikov (3DOR@Eurographics, 2019)

Isospectralization, or How to Hear Shape, Style, and Correspondence. - Luca Cosmo; Mikhail Panine; Arianna Rampini; Maks Ovsjanikov; Michael M. Bronstein; Emanuele Rodolà (CVPR, 2019)

Unsupervised Learning of Dense Shape Correspondence. - Oshri Halimi; Or Litany; Emanuele Rodolà; Alexander M. Bronstein; Ron Kimmel (CVPR, 2019)

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. - Simone Melzi; Riccardo Spezialetti; Federico Tombari; Michael M. Bronstein; Luigi Di Stefano; Emanuele Rodolà (CVPR, 2019)

Deep Learning for Computer Graphics and Geometry Processing. - Michael M. Bronstein; Leonidas J. Guibas; Iasonas Kokkinos; Or Litany; Niloy J. Mitra; Federico Monti; Emanuele Rodolà (Eurographics (Tutorials), 2019)

Functional Maps Representation On Product Manifolds. - Emanuele Rodolà; Zorah Lähner; Alexander M. Bronstein; Michael M. Bronstein; Justin Solomon 001 (Comput. Graph. Forum, 2019)

ZoomOut: Spectral Upsampling for Efficient Shape Correspondence. - Simone Melzi; Jing Ren 004; Emanuele Rodolà; Peter Wonka; Maks Ovsjanikov (CoRR, 2019)

ZoomOut: spectral upsampling for efficient shape correspondence. - Simone Melzi; Jing Ren 004; Emanuele Rodolà; Abhishek Sharma 013; Peter Wonka; Maks Ovsjanikov (ACM Trans. Graph., 2019)

Instant recovery of shape from spectrum via latent space connections. - Riccardo Marin; Arianna Rampini; Umberto Castellani; Emanuele Rodolà; Maks Ovsjanikov; Simone Melzi (3DV, 2020)

LIMP: Learning Latent Shape Representations with Metric Preservation Priors. - Luca Cosmo; Antonio Norelli; Oshri Halimi; Ron Kimmel; Emanuele Rodolà (ECCV (3), 2020)

Towards Precise Completion of Deformable Shapes. - Oshri Halimi; Ido Imanuel; Or Litany; Giovanni Trappolini; Emanuele Rodolà; Leonidas J. Guibas; Ron Kimmel (ECCV (24), 2020)

Generating Adversarial Surfaces via Band-Limited Perturbations. - Giorgio Mariani; Luca Cosmo; Alexander M. Bronstein; Emanuele Rodolà (Comput. Graph. Forum, 2020)

FARM: Functional Automatic Registration Method for 3D Human Bodies. - Riccardo Marin; Simone Melzi; Emanuele Rodolà; Umberto Castellani (Comput. Graph. Forum, 2020)

A parametric analysis of discrete Hamiltonian functional maps. - Emilian Postolache; Marco Fumero; Luca Cosmo; Emanuele Rodolà (Comput. Graph. Forum, 2020)

The Whole Is Greater Than the Sum of Its Nonrigid Parts. - Oshri Halimi; Ido Imanuel; Or Litany; Giovanni Trappolini; Emanuele Rodolà; Leonidas J. Guibas; Ron Kimmel (CoRR, 2020)

Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification. - Danilo Avola; Luigi Cinque; Alessio Fagioli 001; Sebastiano Filetti; Giorgio Grani; Emanuele Rodolà (CoRR, 2020)

2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs. - Danilo Avola; Marco Cascio; Luigi Cinque; Gian Luca Foresti; Cristiano Massaroni; Emanuele Rodolà (IEEE Trans. Multim., 2020)

Nonlinear spectral geometry processing via the TV transform. - Marco Fumero; Michael Möller 001; Emanuele Rodolà (ACM Trans. Graph., 2020)

Cluster-Driven Graph Federated Learning Over Multiple Domains. - Debora Caldarola; Massimiliano Mancini; Fabio Galasso; Marco Ciccone; Emanuele Rodolà; Barbara Caputo (CVPR Workshops, 2021)

Universal Spectral Adversarial Attacks for Deformable Shapes. - Arianna Rampini; Franco Pestarini; Luca Cosmo; Simone Melzi; Emanuele Rodolà (CVPR, 2021)

Learning disentangled representations via product manifold projection. - Marco Fumero; Luca Cosmo; Simone Melzi; Emanuele Rodolà (ICML, 2021)

Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose. - Viviana Arrigoni; Filippo Maggioli; Annalisa Massini; Emanuele Rodolà (ICPP, 2021)

Shape Registration in the Time of Transformers. - Giovanni Trappolini; Luca Cosmo; Luca Moschella; Riccardo Marin; Simone Melzi; Emanuele Rodolà (NeurIPS, 2021)

Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. - Maxime Kirgo; Simone Melzi; Giuseppe Patanè 001; Emanuele Rodolà; Maks Ovsjanikov (Comput. Graph. Forum, 2021)

Orthogonalized Fourier Polynomials for Signal Approximation and Transfer. - Filippo Maggioli; Simone Melzi; Maksim Ovsjanikov; Michael M. Bronstein; Emanuele Rodolà (Comput. Graph. Forum, 2021)

Spectral Unions of Partial Deformable 3D Shapes. - Luca Moschella; Simone Melzi; Luca Cosmo; Filippo Maggioli; Or Litany; Maks Ovsjanikov; Leonidas J. Guibas; Emanuele Rodolà (CoRR, 2021)

Learning to generate shape from global-local spectra. - Marco Pegoraro 002; Riccardo Marin; Simone Melzi; Emanuele Rodolà; Umberto Castellani (CoRR, 2021)

Unsupervised Source Separation via Bayesian Inference in the Latent Domain. - Michele Mancusi; Emilian Postolache; Marco Fumero; Andrea Santilli; Luca Cosmo; Emanuele Rodolà (CoRR, 2021)

Why you should learn functional basis. - Riccardo Marin; Souhaib Attaiki; Simone Melzi; Emanuele Rodolà; Maks Ovsjanikov (CoRR, 2021)

Graph Kernel Neural Networks. - Luca Cosmo; Giorgia Minello; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (CoRR, 2021)

Spectral Shape Recovery and Analysis Via Data-driven Connections. - Riccardo Marin; Arianna Rampini; Umberto Castellani; Emanuele Rodolà; Maks Ovsjanikov; Simone Melzi (Int. J. Comput. Vis., 2021)

3D Human Pose Estimation Using Möbius Graph Convolutional Networks. - Niloofar Azizi; Horst Possegger; Emanuele Rodolà; Horst Bischof (ECCV (1), 2022)

Inverse Computational Spectral Geometry. - Emanuele Rodolà; Luca Cosmo; Maks Ovsjanikov; Arianna Rampini; Simone Melzi; Michael M. Bronstein; Riccardo Marin (Eurographics (Tutorials), 2022)

Metric Based Few-Shot Graph Classification. - Donato Crisostomi; Simone Antonelli; Valentino Maiorca; Luca Moschella; Riccardo Marin; Emanuele Rodolà (LoG, 2022)

Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching. - Ramana Sundararaman; Riccardo Marin; Emanuele Rodolà; Maks Ovsjanikov (NeurIPS, 2022)

Newton's Fractals on Surfaces via Bicomplex Algebra. - Filippo Maggioli; Daniele Baieri; Simone Melzi; Emanuele Rodolà (SIGGRAPH Posters, 2022)

Foreword to the Special Section on Smart Tools and Applications in Graphics (STAG 2021). - Patrizio Frosini; Daniela Giorgi; Simone Melzi; Emanuele Rodolà (Comput. Graph., 2022)

Learning Spectral Unions of Partial Deformable 3D Shapes. - Luca Moschella; Simone Melzi; Luca Cosmo; Filippo Maggioli; Or Litany; Maks Ovsjanikov; Leonidas J. Guibas; Emanuele Rodolà (Comput. Graph. Forum, 2022)

Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach. - Marco Pegoraro 002; Simone Melzi; Umberto Castellani; Riccardo Marin; Emanuele Rodolà (Comput. Graph. Forum, 2022)

Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation. - Michele Mancusi; Nicola Zonca; Emanuele Rodolà; Silvia Zuffi (CoRR, 2022)

Explanatory Learning: Beyond Empiricism in Neural Networks. - Antonio Norelli; Giorgio Mariani; Luca Moschella; Andrea Santilli; Giambattista Parascandolo; Simone Melzi; Emanuele Rodolà (CoRR, 2022)

Harnessing spectral representations for subgraph alignment. - Marco Pegoraro 002; Riccardo Marin; Arianna Rampini; Simone Melzi; Luca Cosmo; Emanuele Rodolà (CoRR, 2022)

KiloNeuS: Implicit Neural Representations with Real-Time Global Illumination. - Stefano Esposito; Daniele Baieri; Stefan Zellmann; André Hinkenjann; Emanuele Rodolà (CoRR, 2022)

3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature. - Luca Cosmo; Giorgia Minello; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (Int. J. Comput. Vis., 2022)

Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification. - Danilo Avola; Luigi Cinque; Alessio Fagioli 001; Sebastiano Filetti; Giorgio Grani; Emanuele Rodolà (IEEE Trans. Circuits Syst. Video Technol., 2022)

MoMaS: Mold Manifold Simulation for real-time procedural texturing. - Filippo Maggioli; Riccardo Marin; Simone Melzi; Emanuele Rodolà (Comput. Graph. Forum, 2022)

Latent Autoregressive Source Separation. - Emilian Postolache; Giorgio Mariani; Michele Mancusi; Andrea Santilli; Luca Cosmo; Emanuele Rodolà (AAAI, 2023)

Accelerating Transformer Inference for Translation via Parallel Decoding. - Andrea Santilli; Silvio Severino; Emilian Postolache; Valentino Maiorca; Michele Mancusi; Riccardo Marin; Emanuele Rodolà (ACL (1), 2023)

Camoscio: An Italian Instruction-tuned LLaMA. - Andrea Santilli; Emanuele Rodolà (CLiC-it, 2023)

Latent Code Disentanglement Using Orthogonal Latent Codes and Inter-Domain Signal Transformation. - Babak Solhjoo; Emanuele Rodolà (ICAART (2), 2023)

Bootstrapping Parallel Anchors for Relative Representations. - Irene Cannistraci; Luca Moschella; Valentino Maiorca; Marco Fumero; Antonio Norelli; Emanuele Rodolà (Tiny Papers @ ICLR, 2023)

Relative representations enable zero-shot latent space communication. - Luca Moschella; Valentino Maiorca; Marco Fumero; Antonio Norelli; Francesco Locatello; Emanuele Rodolà (ICLR, 2023)

Fauno: The Italian Large Language Model that will leave you senza parole! - Andrea Bacciu; Giovanni Trappolini; Andrea Santilli; Emanuele Rodolà; Fabrizio Silvestri (IIR, 2023)

Exploiting Music Source Separation For Singing Voice Detection. - Francesco Bonzi; Michele Mancusi; Simone Del Deo; Pierfrancesco Melucci; Maria Stella Tavella; Loreto Parisi; Emanuele Rodolà (MLSP, 2023)

From charts to atlas: Merging latent spaces into one. - Donato Crisostomi; Irene Cannistraci; Luca Moschella; Pietro Barbiero; Marco Ciccone; Pietro Liò; Emanuele Rodolà (NeurReps, 2023)

Spectral Maps for Learning on Subgraphs. - Marco Pegoraro 002; Riccardo Marin; Arianna Rampini; Simone Melzi; Luca Cosmo; Emanuele Rodolà (NeurReps, 2023)

Leveraging sparse and shared feature activations for disentangled representation learning. - Marco Fumero; Florian Wenzel; Luca Zancato; Alessandro Achille; Emanuele Rodolà; Stefano Soatto; Bernhard Schölkopf; Francesco Locatello (NeurIPS, 2023)

Latent Space Translation via Semantic Alignment. - Valentino Maiorca; Luca Moschella; Antonio Norelli; Marco Fumero; Francesco Locatello; Emanuele Rodolà (NeurIPS, 2023)

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training. - Antonio Norelli; Marco Fumero; Valentino Maiorca; Luca Moschella; Emanuele Rodolà; Francesco Locatello (NeurIPS, 2023)

A Physically-inspired Approach to the Simulation of Plant Wilting. - Filippo Maggioli; Jonathan Klein; Torsten Hädrich; Emanuele Rodolà; Wojtek Palubicki; Sören Pirk; Dominik L. Michels (SIGGRAPH Asia, 2023)

Multimodal Neural Databases. - Giovanni Trappolini; Andrea Santilli; Emanuele Rodolà; Alon Y. Halevy; Fabrizio Silvestri (SIGIR, 2023)

Preface of UniReps: the First Workshop on Unifying Representations in Neural Models. - Marco Fumero; Emanuele Rodolà; Clémentine C. J. Dominé; Francesco Locatello; Karolina Dziugaite; Mathilde Caron (UniReps, 2023)

CaSpeR: Latent Spectral Regularization for Continual Learning. - Emanuele Frascaroli; Riccardo Benaglia; Matteo Boschini; Luca Moschella; Cosimo Fiorini; Emanuele Rodolà; Simone Calderara (CoRR, 2023)

Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors. - Daniele Baieri; Stefano Esposito; Filippo Maggioli; Emanuele Rodolà (CoRR, 2023)

Massive Uniform Mesh Decimation via a Fast Intrinsic Delaunay Triangulation. - Filippo Maggioli; Daniele Baieri; Emanuele Rodolà (CoRR, 2023)

Geometric Epitope and Paratope Prediction. - Marco Pegoraro 002; Clémentine C. J. Dominé; Emanuele Rodolà; Petar Velickovic; Andreea Deac (CoRR, 2023)

Efficient Generation of Multimodal Fluid Simulation Data. - Daniele Baieri; Donato Crisostomi; Stefano Esposito; Filippo Maggioli; Emanuele Rodolà (CoRR, 2023)

Zero-Shot Duet Singing Voices Separation with Diffusion Models. - Chin-Yun Yu; Emilian Postolache; Emanuele Rodolà; György Fazekas (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Vector Quantile Regression on Manifolds. - Marco Pegoraro 002; Sanketh Vedula; Aviv Rosenberg 001; Irene Tallini; Emanuele Rodolà; Alex M. Bronstein (AISTATS, 2024)

ReMatching: Low-Resolution Representations for Scalable Shape Correspondence. - Filippo Maggioli; Daniele Baieri; Emanuele Rodolà; Simone Melzi (ECCV (37), 2024)

Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis. - Marco Comunità; Riccardo F. Gramaccioni; Emilian Postolache; Emanuele Rodolà; Danilo Comminiello; Joshua D. Reiss (ICASSP, 2024)

Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. - Emilian Postolache; Giorgio Mariani; Luca Cosmo; Emmanouil Benetos; Emanuele Rodolà (ICASSP, 2024)

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication. - Irene Cannistraci; Luca Moschella; Marco Fumero; Valentino Maiorca; Emanuele Rodolà (ICLR, 2024)

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. - Giorgio Mariani; Irene Tallini; Emilian Postolache; Michele Mancusi; Luca Cosmo; Emanuele Rodolà (ICLR, 2024)

$C^2M^3$: Cycle-Consistent Multi-Model Merging. - Donato Crisostomi; Marco Fumero; Daniele Baieri; Florian Bernard; Emanuele Rodolà (NeurIPS, 2024)

Latent Functional Maps: a spectral framework for representation alignment. - Marco Fumero; Marco Pegoraro 002; Valentino Maiorca; Francesco Locatello; Emanuele Rodolà (NeurIPS, 2024)

MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms. - Danilo Avola; Irene Cannistraci; Marco Cascio; Luigi Cinque; Alessio Fagioli 001; Gian Luca Foresti; Emanuele Rodolà; Luciana Solito (Comput. Methods Programs Biomed., 2024)

GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting. - Francesco Palandra; Andrea Sanchietti; Daniele Baieri; Emanuele Rodolà (CoRR, 2024)

Zero-Shot Stitching in Reinforcement Learning using Relative Representations. - Antonio Pio Ricciardi; Valentino Maiorca; Luca Moschella; Riccardo Marin; Emanuele Rodolà (CoRR, 2024)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. - Ruben Ciranni; Emilian Postolache; Giorgio Mariani; Michele Mancusi; Luca Cosmo; Emanuele Rodolà (CoRR, 2024)

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models. - Emilian Postolache; Natalia Polouliakh; Hiroaki Kitano; Akima Connelly; Emanuele Rodolà; Taketo Akama (CoRR, 2024)

Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing. - Daniele Baieri; Filippo Maggioli; Zorah Lähner; Simone Melzi; Emanuele Rodolà (CoRR, 2024)

C2M3: Cycle-Consistent Multi-Model Merging. - Donato Crisostomi; Marco Fumero; Daniele Baieri; Florian Bernard; Emanuele Rodolà (CoRR, 2024)

Latent Functional Maps. - Marco Fumero; Marco Pegoraro 002; Valentino Maiorca; Francesco Locatello; Emanuele Rodolà (CoRR, 2024)

Latent Space Translation via Inverse Relative Projection. - Valentino Maiorca; Luca Moschella; Marco Fumero; Francesco Locatello; Emanuele Rodolà (CoRR, 2024)

Detecting and Approximating Redundant Computational Blocks in Neural Networks. - Irene Cannistraci; Emanuele Rodolà; Bastian Rieck (CoRR, 2024)

ATM: Improving Model Merging by Alternating Tuning and Merging. - Luca Zhou; Daniele Solombrino; Donato Crisostomi; Maria Sofia Bucarelli; Fabrizio Silvestri; Emanuele Rodolà (CoRR, 2024)

Latent spectral regularization for continual learning. - Emanuele Frascaroli; Riccardo Benaglia; Matteo Boschini; Luca Moschella; Cosimo Fiorini; Emanuele Rodolà; Simone Calderara (Pattern Recognit. Lett., 2024)

Sparse Vicious Attacks on Graph Neural Networks. - Giovanni Trappolini; Valentino Maiorca; Silvio Severino; Emanuele Rodolà; Fabrizio Silvestri; Gabriele Tolomei (IEEE Trans. Artif. Intell., 2024)

Task Singular Vectors: Reducing Task Interference in Model Merging. - Antonio Andrea Gargiulo; Donato Crisostomi; Maria Sofia Bucarelli; Simone Scardapane; Fabrizio Silvestri; Emanuele Rodolà (CVPR, 2025)

Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces. - Souhail Hadgi; Luca Moschella; Andrea Santilli; Diego Gomez 003; Qixing Huang; Emanuele Rodolà; Simone Melzi; Maks Ovsjanikov (CVPR, 2025)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. - Ruben Ciranni; Giorgio Mariani; Michele Mancusi; Emilian Postolache; Giorgio Fabbro; Emanuele Rodolà; Luca Cosmo (ICASSP, 2025)

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models. - Emilian Postolache; Natalia Polouliakh; Hiroaki Kitano; Akima Connelly; Emanuele Rodolà; Luca Cosmo; Taketo Akama (ICASSP, 2025)

ResiDual Transformer Alignment with Spectral Decomposition. - Lorenzo Basile; Valentino Maiorca; Luca Bortolussi; Emanuele Rodolà; Francesco Locatello (Trans. Mach. Learn. Res., 2025)

Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions. - Michele Miranda; Elena Sofia Ruzzetti; Andrea Santilli; Fabio Massimo Zanzotto; Sébastien Bratières; Emanuele Rodolà (Trans. Mach. Learn. Res., 2025)

MERGE3: Efficient Evolutionary Merging on Consumer-grade GPUs. - Tommaso Mencattini; Adrian Robert Minut; Donato Crisostomi; Andrea Santilli; Emanuele Rodolà (CoRR, 2025)

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching. - Antonio Pio Ricciardi; Valentino Maiorca; Luca Moschella; Riccardo Marin; Emanuele Rodolà (CoRR, 2025)

LoopGen: Training-Free Loopable Music Generation. - Davide Marincione; Giorgio Strano; Donato Crisostomi; Roberto Ribuoli; Emanuele Rodolà (CoRR, 2025)

Activation Patching for Interpretable Steering in Music Generation. - Simone Facchiano; Giorgio Strano; Donato Crisostomi; Irene Tallini; Tommaso Mencattini; Fabio Galasso; Emanuele Rodolà (CoRR, 2025)

MASS: MoErging through Adaptive Subspace Selection. - Donato Crisostomi; Alessandro Zirilli; Antonio Andrea Gargiulo; Maria Sofia Bucarelli; Simone Scardapane; Fabrizio Silvestri; Iacopo Masi; Emanuele Rodolà (CoRR, 2025)

STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning. - Giorgio Strano; Chiara Ballanti; Donato Crisostomi; Michele Mancusi; Luca Cosmo; Emanuele Rodolà (CoRR, 2025)

Model-based Metric 3D Shape and Motion Reconstruction of Wild Bottlenose Dolphins in Drone-Shot Videos. - Daniele Baieri; Riccardo Cicciarella; Michael Krützen; Emanuele Rodolà; Silvia Zuffi (CoRR, 2025)

Graph Kernel Neural Networks. - Luca Cosmo; Giorgia Minello; Alessandro Bicciato; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (IEEE Trans. Neural Networks Learn. Syst., 2025)

Mergenetic: a Simple Evolutionary Model Merging Library. - Adrian Robert Minut; Tommaso Mencattini; Andrea Santilli; Donato Crisostomi; Emanuele Rodolà (CoRR, 2025)

Update Your Transformer to the Latest Release: Re-Basin of Task Vectors. - Filippo Rinaldi; Giacomo Capitani; Lorenzo Bonicelli; Donato Crisostomi; Federico Bolelli; Elisa Ficarra; Emanuele Rodolà; Simone Calderara; Angelo Porrello (CoRR, 2025)

Navigating the Latent Space Dynamics of Neural Models. - Marco Fumero; Luca Moschella; Emanuele Rodolà; Francesco Locatello (CoRR, 2025)

Implicit Inversion turns CLIP into a Decoder. - Antonio D'Orazio; Maria Rosaria Briglia; Donato Crisostomi; Dario Loi; Emanuele Rodolà; Iacopo Masi (CoRR, 2025)

Video Unlearning via Low-Rank Refusal Vector. - Simone Facchiano; Stefano Saravalle; Matteo Migliarini; Edoardo De Matteis; Alessio Sampieri; Andrea Pilzer; Emanuele Rodolà; Indro Spinelli; Luca Franco; Fabio Galasso (CoRR, 2025)