Nickel, Maximilian
- Flow Matching for Generative Modeling
2022/10/06 by Lipman, Yaron, Chen, Ricky T. Q., Ben-Hamu, Heli +2 · 1120 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Poincaré Embeddings for Learning Hierarchical Representations
2017/05/22 by Maximilian Nickel, Nickel, Maximilian, Douwe Kiela +1 · 3 voices · 72 citations
Computer Science · #cs.AI #cs.LG #stat.ML
- Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
2018/06/09 by Maximilian Nickel, Nickel, Maximilian, Douwe Kiela +1 · 30 citations
Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · Computer Science · #Complex Network Analysis Techniques #Bioinformatics and Genomic Networks #Advanced Graph Neural Networks
- Hyperbolic Graph Neural Networks
2019/10/28 by Qi Liu, Liu, Qi, Maximilian Nickel +3 · 21 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Riemannian Continuous Normalizing Flows
2020/06/18 by Mathieu, Emile, Nickel, Maximilian · 18 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Holographic Embeddings of Knowledge Graphs
2015/10/16 by Nickel, Maximilian, Rosasco, Lorenzo, Poggio, Tomaso · 12 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.4 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Hyperbolic Image-Text Representations
2023/04/18 by Desai, Karan, Nickel, Maximilian, Rajpurohit, Tanmay +2 · 21 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Task-Driven Modular Networks for Zero-Shot Compositional Learning
2019/05/15 by Purushwalkam, Senthil, Nickel, Maximilian, Gupta, Abhinav +1 · 7 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Moser Flow: Divergence-based Generative Modeling on Manifolds
2021/08/18 by Noam Rozen, Rozen, Noam, Aditya Grover +5 · 8 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Matching Normalizing Flows and Probability Paths on Manifolds
2022/07/11 by Ben-Hamu, Heli, Cohen, Samuel, Bose, Joey +5 · 7 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings
2019/02/03 by Le, Matt, Roller, Stephen, Papaxanthos, Laetitia +2 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- On Kinetic Optimal Probability Paths for Generative Models
2023/06/11 by Neta Shaul, Ricky T. Q. Chen, Shaul, Neta +7 · 4 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
- Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora
2018/06/08 by Roller, Stephen, Kiela, Douwe, Nickel, Maximilian · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- CURI: A Benchmark for Productive Concept Learning Under Uncertainty
2020/10/06 by Vedantam, Ramakrishna, Szlam, Arthur, Nickel, Maximilian +2 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Generalized Schrödinger Bridge Matching
2023/10/03 by Guan-Horng Liu, Yaron Lipman, Liu, Guan-Horng +9 · 2 citations
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC)
- Learning Visually Grounded Sentence Representations
2017/07/19 by Kiela, Douwe, Conneau, Alexis, Jabri, Allan +1 · 1 citation
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
2025/07/13 by Zhang, Lily Hong, Smitha Milli, Milli, Smitha +24 · 5 citations
Engineering · Computer Science · #Smart Cities and Technologies #Information Retrieval and Data Mining
- System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
2024/05/29 by Arpit Agarwal, Agarwal, Arpit, Nicolas Usunier +5 · 2 citations
Business, Management and Accounting · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Product Development and Customization
- LLM Output Homogenization is Task Dependent
2025/09/25 by Jain, Shomik, Lanchantin, Jack, Nickel, Maximilian +3 · 3 citations
#Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences
- DYMAG: Rethinking Message Passing Using Dynamical-systems-based Waveforms
2023/09/18 by Bhaskar, Dhananjay, Sun, Xingzhi, Zhang, Yanlei +8 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering