Emanuele Sansone

32 papers A* 4A 3C 1Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Online library learning in human visual puzzle solving. CoRR Pinzhe Zhao, Emanuele Sansone, Marta Kryven, Bonan Zhao
2026	J	`jnl`	OrigamiBench: An Interactive Environment to Synthesize Flat-Foldable Origamis. CoRR Naaisha Agarwal, Yihan Wu, Yichang Jian, Yikuan Hu, Nishad Mansoor, Mohan Li, Yifei Peng, Wang-Zhou Dai, Yao-Xiang Ding, Emanuele Sansone
2026	J	`jnl`	Power Term Polynomial Algebra for Boolean Logic. CoRR Emanuele Sansone, Armando Solar-Lezama
2025	A*	`conf`	Collapse-Proof Non-Contrastive Self-Supervised Learning. ICML Emanuele Sansone, Tim Lebailly, Tinne Tuytelaars
2025	J	`jnl`	Unifying Self-Supervised Clustering and Energy-Based Models. Trans. Mach. Learn. Res. Emanuele Sansone, Robin Manhaeve
2024	J	`jnl`	(Deep) Generative Geodesics. CoRR Beomsu Kim, Michael Puthawala, Jong Chul Ye, Emanuele Sansone
2024	J	`jnl`	A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models. CoRR Emanuele Sansone, Robin Manhaeve
2024	A	`conf`	EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic. ECAI Victor Verreet, Lennert De Smet, Luc De Raedt, Emanuele Sansone
2024	J	`jnl`	EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic. CoRR Victor Verreet, Lennert De Smet, Luc De Raedt, Emanuele Sansone
2024	J	`jnl`	Failure-Proof Non-Contrastive Self-Supervised Learning. CoRR Emanuele Sansone, Tim Lebailly, Tinne Tuytelaars
2023	A*	`conf`	Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. NeurIPS Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires
2023	J	`jnl`	Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. CoRR Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires
2023	J	`jnl`	Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training. CoRR Emanuele Sansone, Robin Manhaeve
2023	J	`jnl`	The Triad of Failure Modes and a Possible Way Out. CoRR Emanuele Sansone
2023	C	`conf`	VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeSy Eleonora Misino, Giuseppe Marra, Emanuele Sansone
2022	J	`jnl`	GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning. CoRR Emanuele Sansone, Robin Manhaeve
2022	A*	`conf`	LSB: Local Self-Balancing MCMC in Discrete Spaces. ICML Emanuele Sansone
2022	A*	`conf`	VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. NeurIPS Eleonora Misino, Giuseppe Marra, Emanuele Sansone
2022	J	`jnl`	VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. CoRR Eleonora Misino, Giuseppe Marra, Emanuele Sansone
2021	J	`jnl`	LSB: Local Self-Balancing MCMC in Discrete Spaces. CoRR Emanuele Sansone
2021	J	`jnl`	Leveraging Hidden Structure in Self-Supervised Learning. CoRR Emanuele Sansone
2020	A	`conf`	Coulomb Autoencoders. ECAI Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun
2019	J	`jnl`	Efficient Training for Positive Unlabeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. Emanuele Sansone, Francesco G. B. De Natale, Zhi-Hua Zhou
2018	J	`jnl`	Plummer Autoencoders. CoRR Emanuele Sansone, Quoc-Tin Phan, Francesco G. B. De Natale
2018	—	`—`	Towards Uncovering the True Use of Unlabeled Data in Machine Learning. Emanuele Sansone
2017	J	`jnl`	Automatic Synchronization of Multi-user Photo Galleries. IEEE Trans. Multim. Emanuele Sansone, Konstantinos Apostolidis, Nicola Conci, Giulia Boato, Vasileios Mezaris, Francesco G. B. De Natale
2017	J	`jnl`	Training Feedforward Neural Networks with Standard Logistic Activations is Feasible. CoRR Emanuele Sansone, Francesco G. B. De Natale
2016	J	`jnl`	Automatic Synchronization of Multi-User Photo Galleries. CoRR Emanuele Sansone, Konstantinos Apostolidis, Nicola Conci, Giulia Boato, Vasileios Mezaris, Francesco G. B. De Natale
2016	A	`conf`	Classtering: Joint Classification and Clustering with Mixture of Factor Analysers. ECAI Emanuele Sansone, Andrea Passerini, Francesco G. B. De Natale
2016	J	`jnl`	Efficient Training for Positive Unlabeled Learning. CoRR Emanuele Sansone
2014	—	`conf`	Synchronizing Multi-User Photo Galleries with MRF. MediaEval Emanuele Sansone, Giulia Boato, Minh-Son Dao
2013	—	`conf`	Event Clustering and Classification from Social Media: Watershed-based and Kernel Methods. MediaEval Truc-Vien Nguyen, Minh-Son Dao, Riccardo Mattivi, Emanuele Sansone, Francesco G. B. De Natale, Giulia Boato