Lippe, Phillip
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1358 citations
#cs.CL #cs.AI
- PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
2023/08/10 by Phillip Lippe, Lippe, Phillip, Bastiaan S. Veeling +7 · 32 citations
Physics and Astronomy · Earth and Planetary Sciences · Engineering · #Model Reduction and Neural Networks #Meteorological Phenomena and Simulations #Lattice Boltzmann Simulation Studies
- Weakly supervised causal representation learning
2022/03/30 by Brehmer, Johann, de Haan, Pim, Lippe, Phillip +1 · 11 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- CITRIS: Causal Identifiability from Temporal Intervened Sequences
2022/02/07 by Phillip Lippe, Sara Magliacane, Lippe, Phillip +9 · 10 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Vision and Imaging
- Efficient Neural Causal Discovery without Acyclicity Constraints
2021/07/22 by Lippe, Phillip, Cohen, Taco, Gavves, Efstratios · 7 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
2022/06/13 by Phillip Lippe, Sara Magliacane, Lippe, Phillip +9 · 5 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Complex-Valued Autoencoders for Object Discovery
2022/04/05 by Sindy Löwe, Phillip Lippe, Löwe, Sindy +5 · 4 citations
Computer Science · Neuroscience · Engineering · #Neural Networks and Applications #Neural dynamics and brain function #Advanced Memory and Neural Computing
- BISCUIT: Causal Representation Learning from Binary Interactions
2023/06/16 by Lippe, Phillip, Magliacane, Sara, Löwe, Sindy +3 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
- xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
2025/03/17 by Beck, Maximilian, Pöppel, Korbinian, Lippe, Phillip +5 · 8 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- How to Train Neural Field Representations: A Comprehensive Study and Benchmark
2023/12/15 by Samuele Papa, Riccardo Valperga, Papa, Samuele +11 · 3 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Advanced Neural Network Applications #Cell Image Analysis Techniques #Medical Image Segmentation Techniques
- Language Agents Meet Causality -- Bridging LLMs and Causal World Models
2024/10/25 by John Gkountouras, Matthias Lindemann, Gkountouras, John +7 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Topic Modeling
- Rotating Features for Object Discovery
2023/06/01 by Löwe, Sindy, Lippe, Phillip, Locatello, Francesco +1 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
2025/03/18 by Beck, Maximilian, Pöppel, Korbinian, Lippe, Phillip +1 · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Categorical Normalizing Flows via Continuous Transformations
2020/06/17 by Phillip Lippe, Lippe, Phillip, Efstratios Gavves +1 · 1 citation
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Time Series Analysis and Forecasting
- Differentiable Mathematical Programming for Object-Centric Representation Learning
2022/10/05 by Pervez, Adeel, Lippe, Phillip, Gavves, Efstratios · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning Interactive World Model for Object-Centric Reinforcement Learning
2025/11/04 by Feng, Fan, Lippe, Phillip, Magliacane, Sara · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)