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ORCIDEmanuele Sansone
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2020 – today
- 2024
[c9]Victor Verreet, Lennert De Smet, Luc De Raedt, Emanuele Sansone:
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic. ECAI 2024: 1349-1356- [i14]Emanuele Sansone, Robin Manhaeve:
A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models. CoRR abs/2401.00873 (2024) - [i13]Beomsu Kim, Michael Puthawala, Jong Chul Ye, Emanuele Sansone:
(Deep) Generative Geodesics. CoRR abs/2407.11244 (2024) - [i12]Victor Verreet, Lennert De Smet, Luc De Raedt, Emanuele Sansone:
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic. CoRR abs/2408.08133 (2024) - 2023
- [c8]Eleonora Misino, Giuseppe Marra, Emanuele Sansone:
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeSy 2023: 434-435 - [c7]Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires:
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. NeurIPS 2023 - [i11]Emanuele Sansone, Robin Manhaeve:
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training. CoRR abs/2304.11357 (2023) - [i10]Emanuele Sansone:
The Triad of Failure Modes and a Possible Way Out. CoRR abs/2309.15420 (2023) - [i9]Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires:
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. CoRR abs/2311.12569 (2023) - 2022
- [c6]Emanuele Sansone:
LSB: Local Self-Balancing MCMC in Discrete Spaces. ICML 2022: 19205-19220 - [c5]Eleonora Misino, Giuseppe Marra, Emanuele Sansone:
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeurIPS 2022 - [i8]Eleonora Misino, Giuseppe Marra, Emanuele Sansone:
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. CoRR abs/2202.04178 (2022) - [i7]Emanuele Sansone, Robin Manhaeve:
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning. CoRR abs/2212.13425 (2022) - 2021
- [i6]Emanuele Sansone:
Leveraging Hidden Structure in Self-Supervised Learning. CoRR abs/2106.16060 (2021) - [i5]Emanuele Sansone:
LSB: Local Self-Balancing MCMC in Discrete Spaces. CoRR abs/2109.03867 (2021) - 2020
- [c4]Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun:
Coulomb Autoencoders. ECAI 2020: 1443-1450
2010 – 2019
- 2019
- [j2]Emanuele Sansone
, Francesco G. B. De Natale, Zhi-Hua Zhou:
Efficient Training for Positive Unlabeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2584-2598 (2019) - 2018
- [b1]Emanuele Sansone:
Towards Uncovering the True Use of Unlabeled Data in Machine Learning. University of Trento, Italy, 2018 - [i4]Emanuele Sansone, Quoc-Tin Phan, Francesco G. B. De Natale:
Plummer Autoencoders. CoRR abs/1802.03505 (2018) - 2017
- [j1]Emanuele Sansone, Konstantinos Apostolidis, Nicola Conci, Giulia Boato, Vasileios Mezaris, Francesco G. B. De Natale:
Automatic Synchronization of Multi-user Photo Galleries. IEEE Trans. Multim. 19(6): 1285-1298 (2017) - [i3]Emanuele Sansone, Francesco G. B. De Natale:
Training Feedforward Neural Networks with Standard Logistic Activations is Feasible. CoRR abs/1710.01013 (2017) - 2016
- [c3]Emanuele Sansone, Andrea Passerini, Francesco G. B. De Natale:
Classtering: Joint Classification and Clustering with Mixture of Factor Analysers. ECAI 2016: 1089-1095 - [i2]Emanuele Sansone, Konstantinos Apostolidis, Nicola Conci, Giulia Boato, Vasileios Mezaris, Francesco G. B. De Natale:
Automatic Synchronization of Multi-User Photo Galleries. CoRR abs/1608.06770 (2016) - [i1]Emanuele Sansone:
Efficient Training for Positive Unlabeled Learning. CoRR abs/1608.06807 (2016) - 2014
- [c2]Emanuele Sansone, Giulia Boato, Minh-Son Dao:
Synchronizing Multi-User Photo Galleries with MRF. MediaEval 2014 - 2013
- [c1]Truc-Vien Nguyen, Minh-Son Dao, Riccardo Mattivi, Emanuele Sansone, Francesco G. B. De Natale, Giulia Boato:
Event Clustering and Classification from Social Media: Watershed-based and Kernel Methods. MediaEval 2013
Coauthor Index
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