Mikael Henaff
17 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (13)
π
Academic Marathon
(10)
πΊοΈ
Taxonomy Completionist
(26)
π
Cross-Pollinator
(13)
π
Keyword Trendsetter Combo
(3)
π₯
Mega-Team
(24)
π
Keyword Champion
(2)
π
Triple Crown
ποΈ
Keyword Collector
(65)
π
Century Club
(17)
Conferences
ICML (6)
ICLR (4)
NIPS (3)
CVPR (2)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
sample complexity
(3)
exploration bonus
(2)
reinforcement learning
(2)
sample efficiency
(2)
inverse dynamics model
(2)
semi-supervised learning
(1)
causal discovery
(1)
representation learning
(1)
policy gradient
(1)
model-based reinforcement learning
(1)
policy optimization
(1)
function approximation
(1)
offline reinforcement learning
(1)
point cloud
(1)
latent state space
(1)
3d vision
(1)
value function
(1)
episodic memory
(1)
state abstraction
(1)
3d reconstruction
(1)
Papers
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
ICML 2025
MaestroMotif: Skill Design from Artificial Intelligence Feedback
ICLR 2025
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
CVPR 2025
Motif: Intrinsic Motivation from Artificial Intelligence Feedback
ICLR 2024
Generalization to New Sequential Decision Making Tasks with In-Context Learning
ICML 2024
OpenEQA: Embodied Question Answering in the Era of Foundation Models
CVPR 2024
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
ICML 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
ICML 2023
Exploration via Elliptical Episodic Bonuses
NIPS 2022
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
ICML 2020
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
NIPS 2020
Disagreement-Regularized Imitation Learning
ICLR 2020
Explicit Explore-Exploit Algorithms in Continuous State Spaces
NIPS 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
ICLR 2019
Recurrent Orthogonal Networks and Long-Memory Tasks
ICML 2016
The Loss Surfaces of Multilayer Networks
AISTATS 2015
Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery
JMLR 2015