Giorgio Giannone | DeepAI

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∙ 06/27/2023

Learning from Invalid Data: On Constraint Satisfaction in Generative Models

Generative models have demonstrated impressive results in vision, langua...

0 Giorgio Giannone, et al. ∙

∙ 05/29/2023

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation

Generative models have had a profound impact on vision and language, pav...

0 Giorgio Giannone, et al. ∙

∙ 03/17/2023

Diffusing the Optimal Topology: A Generative Optimization Approach

Topology Optimization seeks to find the best design that satisfies a set...

0 Giorgio Giannone, et al. ∙

∙ 01/29/2023

Unifying Molecular and Textual Representations via Multi-task Language Modelling

The recent advances in neural language models have also been successfull...

26 Dimitrios Christofidellis, et al. ∙

∙ 10/21/2022

Just Mix Once: Worst-group Generalization by Group Interpolation

Advances in deep learning theory have revealed how average generalizatio...

0 Giorgio Giannone, et al. ∙

∙ 07/08/2022

GT4SD: Generative Toolkit for Scientific Discovery

With the growing availability of data within various scientific domains,...

25 Matteo Manica, et al. ∙

∙ 05/30/2022

Few-Shot Diffusion Models

Denoising diffusion probabilistic models (DDPM) are powerful hierarchica...

3 Giorgio Giannone, et al. ∙

∙ 10/23/2021

Hierarchical Few-Shot Generative Models

A few-shot generative model should be able to generate data from a distr...

4 Giorgio Giannone, et al. ∙

∙ 04/07/2020

Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs

Event-based cameras are novel, efficient sensors inspired by the human v...

13 Giorgio Giannone, et al. ∙

∙ 12/09/2019

No Representation without Transformation

We propose to extend Latent Variable Models with a simple idea: learn to...

13 Giorgio Giannone, et al. ∙

∙ 12/17/2018

Learning Common Representation from RGB and Depth Images

We propose a new deep learning architecture for the tasks of semantic se...

0 Giorgio Giannone, et al. ∙

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