Maximilian Nickel
20 papers · 2014–2025 · 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 ↓+6 more ↓ Show less ↑
๐บ๏ธ Taxonomy Completionist (48) ๐ Academic Marathon ยท Half ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
๐
Keyword Champion
๐๏ธ
Keyword Collector
(110)
๐
Trend Setter
๐
Century Club ยท Bronze
๐ฅ
Unstoppable ยท Bronze
๐
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(17)
Optimization & Theory
(10)
Deep Learning
(9)
Core Methods
(8)
Artificial Intelligence
(5)
Models
(5)
Learning Types
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Applications
(3)
Architectures
(3)
Core AI
(3)
Interdisciplinary
(2)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Keywords
normalizing flow
(4)
diffusion model
(3)
multimodal learning
(2)
text corpus
(2)
generative modeling
(2)
optimal transport
(2)
generative model
(2)
riemannian manifold
(2)
neural ordinary differential equation
(2)
continuous normalizing flow
(2)
unsupervised learning
(2)
manifold learning
(2)
continuous time
(2)
lexical semantics
(1)
benchmark evaluation
(1)
image retrieval
(1)
density estimation
(1)
zero-shot learning
(1)
matrix factorization
(1)
visual grounding
(1)
Papers
Representative Ranking for Deliberation in the Public Sphere
ICML 2025
Generalized Schrรถdinger Bridge Matching
ICLR 2024
No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
NeurIPS 2024
Flow Matching for Generative Modeling
ICLR 2023
Hyperbolic Image-text Representations
ICML 2023
Neural FIM for learning Fisher information metrics from point cloud data
ICML 2023
On Kinetic Optimal Probability Paths for Generative Models
ICML 2023
Semi-Discrete Normalizing Flows through Differentiable Tessellation
NeurIPS 2022
Learning Neural Event Functions for Ordinary Differential Equations
ICLR 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds
NeurIPS 2021
Neural Spatio-Temporal Point Processes
ICLR 2021
Riemannian Continuous Normalizing Flows
NeurIPS 2020
Hyperbolic Graph Neural Networks
NeurIPS 2019
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings
ACL 2019
Revisiting the Evaluation of Theory of Mind through Question Answering
EMNLP 2019
Task-Driven Modular Networks for Zero-Shot Compositional Learning
ICCV 2019
Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora
ACL 2018
Learning Visually Grounded Sentence Representations
NAACL 2018
Separating Self-Expression and Visual Content in Hashtag Supervision
CVPR 2018
Reducing the Rank in Relational Factorization Models by Including Observable Patterns
NeurIPS 2014