Phillip Lippe
15 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (11) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
π
Triple Crown
β‘
Prolific Year
(6)
π₯
Unstoppable
(5)
π
Century Club
(15)
Conferences
ICLR (6)
NIPS (3)
ICML (2)
ACL (1)
CLEAR (1)
CVPR (1)
UAI (1)
Top co-authors
Research topics
Keywords
causal representation learning
(3)
causal discovery
(2)
representation learning
(2)
variational autoencoder
(2)
transfer learning
(2)
temporal sequence
(1)
weakly supervised learning
(1)
dependency parsing
(1)
embodied ai
(1)
partial differential equation
(1)
normalizing flow
(1)
fluid dynamics
(1)
distributed representation
(1)
object-centric representation
(1)
slot attention
(1)
neural field
(1)
neural pde solver
(1)
intervention target
(1)
cross-lingual adaptation
(1)
environment adaptation
(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
Towards the Reusability and Compositionality of Causal Representations
CLEAR 2024
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
CVPR 2024
Differentiable Mathematical Programming for Object-Centric Representation Learning
ICLR 2023
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
ICLR 2023
Scalable Subset Sampling with Neural Conditional Poisson Networks
ICLR 2023
Rotating Features for Object Discovery
NIPS 2023
BISCUIT: Causal Representation Learning from Binary Interactions
UAI 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
NIPS 2023
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
NIPS 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences
ICML 2022
Categorical Normalizing Flows via Continuous Transformations
ICLR 2021