Arthur Aubret - RankMe

33 papers A* 1Journal 22Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Seeing the whole in the parts with self-supervised representation learning. Neurocomputing Arthur Aubret, Céline Teulière, Jochen Triesch
2026	J	`jnl`	Temporal Slowness in Central Vision Drives Semantic Object Learning. CoRR Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2025	J	`jnl`	Human Gaze Boosts Object-Centered Representation Learning. CoRR Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2025	—	`conf`	MIMo grows! Simulating body and sensory development in a multimodal infant model. ICDL Francisco M. López, Miles Lenz, Marco G. Fedozzi, Arthur Aubret, Jochen Triesch
2025	J	`jnl`	MIMo grows! Simulating body and sensory development in a multimodal infant model. CoRR Francisco M. López, Miles Lenz, Marco G. Fedozzi, Arthur Aubret, Jochen Triesch
2025	J	`jnl`	Re-assessing the evidence for mental rotation abilities in children using computational models. CoRR Arthur Aubret, Jochen Triesch
2025	J	`jnl`	Seeing the Whole in the Parts in Self-Supervised Representation Learning. CoRR Arthur Aubret, Céline Teulière, Jochen Triesch
2025	—	`conf`	Simulated Cortical Magnification Supports Self-Supervised Object Learning. ICDL Zhengyang Yu, Arthur Aubret, Chen Yu, Jochen Triesch
2025	J	`jnl`	Simulated Cortical Magnification Supports Self-Supervised Object Learning. CoRR Zhengyang Yu, Arthur Aubret, Chen Yu, Jochen Triesch
2024	J	`jnl`	Active Gaze Behavior Boosts Self-Supervised Object Learning. CoRR Zhengyang Yu, Arthur Aubret, Marcel C. Raabe, Jane Yang, Chen Yu, Jochen Triesch
2024	—	`conf`	Learning Object Semantic Similarity with Self-Supervision. ICDL Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch
2024	J	`jnl`	Learning Object Semantic Similarity with Self-Supervision. CoRR Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch
2024	J	`jnl`	MIMo: A Multimodal Infant Model for Studying Cognitive Development. IEEE Trans. Cogn. Dev. Syst. Dominik Mattern, Pierre Schumacher, Francisco M. López, Marcel C. Raabe, Markus Roland Ernst, Arthur Aubret, Jochen Triesch
2024	—	`conf`	Self-Supervised Learning of Color Constancy. ICDL Markus Roland Ernst, Francisco M. López, Arthur Aubret, Roland W. Fleming, Jochen Triesch
2024	J	`jnl`	Self-Supervised Learning of Color Constancy. CoRR Markus Roland Ernst, Francisco M. López, Arthur Aubret, Roland W. Fleming, Jochen Triesch
2024	—	`conf`	Self-supervised Visual Learning from Interactions with Objects. ECCV (75) Arthur Aubret, Céline Teulière, Jochen Triesch
2024	J	`jnl`	Self-supervised visual learning from interactions with objects. CoRR Arthur Aubret, Céline Teulière, Jochen Triesch
2023	J	`jnl`	An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey. Entropy Arthur Aubret, Laëtitia Matignon, Salima Hassas
2023	—	`conf`	Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. ICDL Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2023	J	`jnl`	Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. CoRR Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2023	J	`jnl`	DisTop: Discovering a Topological Representation to Learn Diverse and Rewarding Skills. IEEE Trans. Cogn. Dev. Syst. Arthur Aubret, Laëtitia Matignon, Salima Hassas
2023	J	`jnl`	MIMo: A Multi-Modal Infant Model for Studying Cognitive Development. CoRR Dominik Mattern, Pierre Schumacher, Francisco M. López, Marcel C. Raabe, Markus Roland Ernst, Arthur Aubret, Jochen Triesch
2023	A*	`conf`	Time to augment self-supervised visual representation learning. ICLR Arthur Aubret, Markus Roland Ernst, Céline Teulière, Jochen Triesch
2022	J	`jnl`	An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey. CoRR Arthur Aubret, Laëtitia Matignon, Salima Hassas
2022	J	`jnl`	Embodied vision for learning object representations. CoRR Arthur Aubret, Céline Teulière, Jochen Triesch
2022	—	`conf`	MIMo: A Multi-Modal Infant Model for Studying Cognitive Development in Humans and AIs. ICDL Dominik Mattern, Francisco M. López, Markus Roland Ernst, Arthur Aubret, Jochen Triesch
2022	J	`jnl`	Time to augment contrastive learning. CoRR Arthur Aubret, Markus Roland Ernst, Céline Teulière, Jochen Triesch
2022	—	`conf`	Toddler-inspired embodied vision for learning object representations. ICDL Arthur Aubret, Céline Teulière, Jochen Triesch
2021	J	`jnl`	DisTop: Discovering a Topological representation to learn diverse and rewarding skills. CoRR Arthur Aubret, Laëtitia Matignon, Salima Hassas
2021	—	`—`	Learning increasingly complex skills through deep reinforcement learning using intrinsic motivation. (Apprentissage de compétences de plus en plus complexes via l'apprentissage profond par renforcement en utilisant la motivation intrinsèque). Arthur Aubret
2020	—	`conf`	ELSIM: End-to-End Learning of Reusable Skills Through Intrinsic Motivation. ECML/PKDD (2) Arthur Aubret, Laëtitia Matignon, Salima Hassas
2020	J	`jnl`	ELSIM: End-to-end learning of reusable skills through intrinsic motivation. CoRR Arthur Aubret, Laëtitia Matignon, Salima Hassas
2019	J	`jnl`	A survey on intrinsic motivation in reinforcement learning. CoRR Arthur Aubret, Laëtitia Matignon, Salima Hassas