Maximilian Nickel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
12
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Representative Ranking for Deliberation in the Public Sphere. | Manon Revel, Smitha Milli, Tyler Lu, Jamelle Watson-Daniels, Maximilian Nickel |
| 2024 | CISS | Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. | Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy |
| 2024 | ICLR | Generalized Schrdinger Bridge Matching. | Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen |
| 2023 | ICLR | Flow Matching for Generative Modeling. | Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matthew Le |
| 2023 | ICML | Hyperbolic Image-text Representations. | Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam |
| 2023 | ICML | Neural FIM for learning Fisher information metrics from point cloud data. | Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy |
| 2023 | ICML | On Kinetic Optimal Probability Paths for Generative Models. | Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman |
| 2022 | BMVC | Can I see an Example? Active Learning the Long Tail of Attributes and Relations. | Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam |
| 2022 | ICML | Matching Normalizing Flows and Probability Paths on Manifolds. | Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Maximilian Nickel, Aditya Grover, Ricky T. Q. Chen, Yaron Lipman |
| 2021 | ICLR | Learning Neural Event Functions for Ordinary Differential Equations. | Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel |
| 2021 | ICLR | Neural Spatio-Temporal Point Processes. | Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel |
| 2021 | ICML | CURI: A Benchmark for Productive Concept Learning Under Uncertainty. | Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake |
| 2021 | WWW | Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes. | Maximilian Nickel, Matthew Le |
| 2019 | ACL | Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings. | Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel |
| 2019 | EMNLP | Revisiting the Evaluation of Theory of Mind through Question Answering. | Matthew Le, Y-Lan Boureau, Maximilian Nickel |
| 2019 | ICCV | Task-Driven Modular Networks for Zero-Shot Compositional Learning. | Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato |
| 2018 | ACL | Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora. | Stephen Roller, Douwe Kiela, Maximilian Nickel |
| 2018 | CVPR | Separating Self-Expression and Visual Content in Hashtag Supervision. | Andreas Veit, Maximilian Nickel, Serge J. Belongie, Laurens van der Maaten |
| 2018 | ICML | Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry. | Maximilian Nickel, Douwe Kiela |
| 2018 | NAACL | Learning Visually Grounded Sentence Representations. | Douwe Kiela, Alexis Conneau, Allan Jabri, Maximilian Nickel |
| 2016 | AAAI | Holographic Embeddings of Knowledge Graphs. | Maximilian Nickel, Lorenzo Rosasco, Tomaso A. Poggio |
| 2014 | DSAA | Large-scale factorization of type-constrained multi-relational data. | Denis Krompass, Maximilian Nickel, Volker Tresp |
| 2012 | WWW | Factorizing YAGO: scalable machine learning for linked data. | Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel |
| 2011 | ICML | A Three-Way Model for Collective Learning on Multi-Relational Data. | Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel |