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ORCIDGiorgio Giannone
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2020 – today
- 2024
[i14]Amin Heyrani Nobari, Giorgio Giannone, Lyle Regenwetter, Faez Ahmed:
NITO: Neural Implicit Fields for Resolution-free Topology Optimization. CoRR abs/2402.05073 (2024)- [i13]Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang, Marc Peter Deisenroth:
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling. CoRR abs/2408.09453 (2024) - 2023
- [c4]Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica:
Unifying Molecular and Textual Representations via Multi-task Language Modelling. ICML 2023: 6140-6157 - [c3]Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed:
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. NeurIPS 2023 - [i12]Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica:
Unifying Molecular and Textual Representations via Multi-task Language Modelling. CoRR abs/2301.12586 (2023) - [i11]Giorgio Giannone, Faez Ahmed:
Diffusing the Optimal Topology: A Generative Optimization Approach. CoRR abs/2303.09760 (2023) - [i10]Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed:
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. CoRR abs/2305.18470 (2023) - [i9]Giorgio Giannone, Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed:
Learning from Invalid Data: On Constraint Satisfaction in Generative Models. CoRR abs/2306.15166 (2023) - [i8]Cyril Picard, Kristen M. Edwards, Anna C. Doris, Brandon Man, Giorgio Giannone, Md Ferdous Alam, Faez Ahmed:
From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design. CoRR abs/2311.12668 (2023) - 2022
- [c2]Giorgio Giannone, Ole Winther:
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation. ICML 2022: 7550-7569 - [i7]Giorgio Giannone, Didrik Nielsen, Ole Winther:
Few-Shot Diffusion Models. CoRR abs/2205.15463 (2022) - [i6]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, Federico Zipoli, Oliver Schilter, Giorgio Giannone, Akihiro Kishimoto, Lisa Hamada, Inkit Padhi, Karl Wehden, Lauren McHugh, Alexy Khrabrov, Payel Das, Seiji Takeda, John R. Smith:
GT4SD: Generative Toolkit for Scientific Discovery. CoRR abs/2207.03928 (2022) - [i5]Giorgio Giannone, Serhii Havrylov, Jordan Massiah, Emine Yilmaz, Yunlong Jiao:
Just Mix Once: Worst-group Generalization by Group Interpolation. CoRR abs/2210.12195 (2022) - 2021
- [i4]Giorgio Giannone, Ole Winther:
Hierarchical Few-Shot Generative Models. CoRR abs/2110.12279 (2021) - 2020
- [i3]Giorgio Giannone, Asha Anoosheh, Alessio Quaglino, Pierluca D'Oro, Marco Gallieri, Jonathan Masci:
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs. CoRR abs/2004.03156 (2020)
2010 – 2019
- 2019
- [c1]Giorgio Giannone, Boris Chidlovskii:
Learning Common Representation From RGB and Depth Images. CVPR Workshops 2019: 408-415 - [i2]Giorgio Giannone, Jonathan Masci, Christian Osendorfer:
No Representation without Transformation. CoRR abs/1912.03845 (2019) - 2018
- [i1]Giorgio Giannone, Boris Chidlovskii:
Learning Common Representation from RGB and Depth Images. CoRR abs/1812.06873 (2018)
Coauthor Index
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