Emanuele Sansone

According to our database, Emanuele Sansone authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Failure-Proof Non-Contrastive Self-Supervised Learning.

Emanuele Sansone, Tim Lebailly, Tinne Tuytelaars

CoRR, 2024

(Deep) Generative Geodesics.

Beomsu Kim, Michael Puthawala, Jong Chul Ye, Emanuele Sansone

CoRR, 2024

A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models.

Emanuele Sansone, Robin Manhaeve

CoRR, 2024

EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic.

Victor Verreet, Lennert De Smet, Luc De Raedt, Emanuele Sansone

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

The Triad of Failure Modes and a Possible Way Out.

Emanuele Sansone

CoRR, 2023

Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training.

Emanuele Sansone, Robin Manhaeve

CoRR, 2023

Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick.

Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning.

Emanuele Sansone, Robin Manhaeve

CoRR, 2022

VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming.

Eleonora Misino, Giuseppe Marra, Emanuele Sansone

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LSB: Local Self-Balancing MCMC in Discrete Spaces.

Emanuele Sansone

Proceedings of the International Conference on Machine Learning, 2022

2021

Leveraging Hidden Structure in Self-Supervised Learning.

Emanuele Sansone

CoRR, 2021

2020

Coulomb Autoencoders.

Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Efficient Training for Positive Unlabeled Learning.

Emanuele Sansone, Francesco G. B. De Natale, Zhi-Hua Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018

Towards Uncovering the True Use of Unlabeled Data in Machine Learning.

Emanuele Sansone

PhD thesis, 2018

Plummer Autoencoders.

Emanuele Sansone, Quoc-Tin Phan, Francesco G. B. De Natale

CoRR, 2018

2017

Automatic Synchronization of Multi-user Photo Galleries.

Emanuele Sansone, Konstantinos Apostolidis, Nicola Conci, Giulia Boato, Vasileios Mezaris, Francesco G. B. De Natale

IEEE Trans. Multim., 2017

Training Feedforward Neural Networks with Standard Logistic Activations is Feasible.

Emanuele Sansone, Francesco G. B. De Natale

CoRR, 2017

2016

Efficient Training for Positive Unlabeled Learning.

Emanuele Sansone

CoRR, 2016

Classtering: Joint Classification and Clustering with Mixture of Factor Analysers.

Emanuele Sansone, Andrea Passerini, Francesco G. B. De Natale

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2014

Synchronizing Multi-User Photo Galleries with MRF.

Emanuele Sansone, Giulia Boato, Minh-Son Dao

Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

2013

Event Clustering and Classification from Social Media: Watershed-based and Kernel Methods.

Truc-Vien Nguyen, Minh-Son Dao, Riccardo Mattivi, Emanuele Sansone, Francesco G. B. De Natale, Giulia Boato

Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013