Jeremie Mary
15 papers · 2012–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🧭
Keyword Pioneer
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(6)
🚀
Conference Pioneer
🗃️
Keyword Collector
(68)
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(6)
Learning Types
(5)
Optimization & Theory
(5)
Data Science & Analytics
(4)
Deep Learning
(4)
Applications · Data Science & Analytics
(4)
Application Areas
(3)
Methods · Data Science & Analytics
(3)
Models
(3)
Computer Vision
(2)
Reinforcement Learning
(2)
Analysis
(2)
Applications · Reinforcement Learning
(2)
Methods · Reinforcement Learning
(2)
Keywords
latent space
(3)
generative adversarial network
(3)
homogeneity testing
(2)
statistical testing
(2)
time series clustering
(2)
time series analysis
(2)
stationary ergodic
(2)
binary classification
(2)
metric learning
(2)
three-sample problem
(2)
recommender system
(2)
visual grounding
(1)
image generation
(1)
question generation
(1)
visual question answering
(1)
algorithmic fairness
(1)
unsupervised learning
(1)
policy gradient
(1)
online clustering
(1)
importance sampling
(1)
Papers
Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder
ICLR 2025
Unveiling the Latent Space Geometry of Push-Forward Generative Models
ICML 2023
Latent Reweighting, an Almost Free Improvement for GANs
WACV 2022
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On
ECCV 2020
Learning disconnected manifolds: a no GAN’s land
ICML 2020
Fairness-Aware Learning for Continuous Attributes and Treatments
ICML 2019
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning
NeurIPS 2018
Visual Reasoning with Multi-hop Feature Modulation
ECCV 2018
End-to-end optimization of goal-driven and visually grounded dialogue systems
IJCAI 2017
Modulating early visual processing by language
NeurIPS 2017
Consistent Algorithms for Clustering Time Series
JMLR 2016
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques
ICML 2014
A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems
JMLR 2013
Online Clustering of Processes
AISTATS 2012
Reducing statistical time-series problems to binary classification
NeurIPS 2012