Learning Common Representation From RGB and Depth Images. - Giorgio Giannone; Boris Chidlovskii (CVPR Workshops, 2019)

No Representation without Transformation. - Giorgio Giannone; Jonathan Masci; Christian Osendorfer (CoRR, 2019)

Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs. - Giorgio Giannone; Asha Anoosheh; Alessio Quaglino; Pierluca D'Oro; Marco Gallieri; Jonathan Masci (CoRR, 2020)

Hierarchical Few-Shot Generative Models. - Giorgio Giannone; Ole Winther (CoRR, 2021)

SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation. - Giorgio Giannone; Ole Winther (ICML, 2022)

Few-Shot Diffusion Models. - Giorgio Giannone; Didrik Nielsen; Ole Winther (CoRR, 2022)

GT4SD: Generative Toolkit for Scientific Discovery. - Matteo Manica; Joris Cadow; Dimitrios Christofidellis; Ashish Dave; Jannis Born; Dean Clarke; Yves Gaetan Nana Teukam; Samuel C. Hoffman; Matthew Buchan; Vijil Chenthamarakshan; Timothy Donovan; Hsiang-Han Hsu; et al. (CoRR, 2022)

Just Mix Once: Worst-group Generalization by Group Interpolation. - Giorgio Giannone; Serhii Havrylov; Jordan Massiah; Emine Yilmaz; Yunlong Jiao (CoRR, 2022)

Unifying Molecular and Textual Representations via Multi-task Language Modelling. - Dimitrios Christofidellis; Giorgio Giannone; Jannis Born; Ole Winther; Teodoro Laino; Matteo Manica (ICML, 2023)

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. - Giorgio Giannone; Akash Srivastava; Ole Winther; Faez Ahmed (NeurIPS, 2023)

Diffusing the Optimal Topology: A Generative Optimization Approach. - Giorgio Giannone; Faez Ahmed (CoRR, 2023)

Learning from Invalid Data: On Constraint Satisfaction in Generative Models. - Giorgio Giannone; Lyle Regenwetter; Akash Srivastava; Dan Gutfreund; Faez Ahmed (CoRR, 2023)

Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling. - Jake Cunningham; Giorgio Giannone; Mingtian Zhang; Marc Peter Deisenroth (NeurIPS, 2024)

NITO: Neural Implicit Fields for Resolution-free Topology Optimization. - Amin Heyrani Nobari; Giorgio Giannone; Lyle Regenwetter; Faez Ahmed (CoRR, 2024)

Constraining Generative Models for Engineering Design with Negative Data. - Lyle Regenwetter; Giorgio Giannone; Akash Srivastava; Dan Gutfreund; Faez Ahmed (Trans. Mach. Learn. Res., 2024)

Be More Specific: Evaluating Object-centric Realism in Synthetic Images. - Anqi Liang; Ciprian A. Corneanu; Qianli Feng; Giorgio Giannone; Aleix Martinez (CVPR, 2025)

NITO: Neural Implicit Fields for Resolution-free and Domain-Adaptable Topology Optimization. - Amin Heyrani Nobari; Lyle Regenwetter; Giorgio Giannone; Faez Ahmed (Trans. Mach. Learn. Res., 2025)

Supervision-free Vision-Language Alignment. - Giorgio Giannone; Ruoteng Li; Qianli Feng; Evgeny Perevodchikov; Rui Chen; Aleix Martinez (CoRR, 2025)

From concept to manufacturing: evaluating vision-language models for engineering design. - Cyril Picard; Kristen M. Edwards; Anna C. Doris; Brandon Man; Giorgio Giannone; Md Ferdous Alam; Faez Ahmed (Artif. Intell. Rev., 2025)