Phillip Lippe
15 papers · 2021–2025 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 👑 Triple Crown
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Prolific Year · Productive
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(66)
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Trend Setter
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Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Core AI
(8)
Core Methods
(6)
Deep Learning
(5)
Learning Paradigms
(4)
Models
(4)
Learning Types
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Application Areas
(2)
Architectures
(2)
Computer Vision
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Keywords
causal representation learning
(5)
causal discovery
(4)
representation learning
(2)
normalizing flow
(2)
variational autoencoder
(2)
transfer learning
(2)
causal inference
(2)
object-centric representation
(2)
graph generation
(1)
weakly supervised learning
(1)
variational inference
(1)
dependency parsing
(1)
temporal sequence
(1)
embodied ai
(1)
hyperparameter optimization
(1)
network architecture
(1)
quadratic programming
(1)
differentiable programming
(1)
graph cut
(1)
continuous optimization
(1)
Papers
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
ICLR 2025
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
ICML 2025
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
CVPR 2024
Towards the Reusability and Compositionality of Causal Representations
CLeaR 2024
BISCUIT: Causal Representation Learning from Binary Interactions
UAI 2023
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
ICLR 2023
Differentiable Mathematical Programming for Object-Centric Representation Learning
ICLR 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
NeurIPS 2023
Rotating Features for Object Discovery
NeurIPS 2023
Scalable Subset Sampling with Neural Conditional Poisson Networks
ICLR 2023
CITRIS: Causal Identifiability from Temporal Intervened Sequences
ICML 2022
Efficient Neural Causal Discovery without Acyclicity Constraints
ICLR 2022
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing
ACL 2022
Weakly supervised causal representation learning
NeurIPS 2022
Categorical Normalizing Flows via Continuous Transformations
ICLR 2021