Phillip Lippe - RankMe

41 papers A* 12A 1Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Language Agents Meet Causality - Bridging LLMs and Causal World Models. ICLR John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov
2025	J	`jnl`	Learning Interactive World Model for Object-Centric Reinforcement Learning. CoRR Fan Feng, Phillip Lippe, Sara Magliacane
2025	J	`jnl`	Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels. CoRR Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Sepp Hochreiter
2025	A*	`conf`	xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference. ICML Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M. Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter
2025	J	`jnl`	xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference. CoRR Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M. Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter
2024	A*	`conf`	How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CVPR Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
2024	J	`jnl`	Language Agents Meet Causality - Bridging LLMs and Causal World Models. CoRR John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov
2024	J	`jnl`	Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall. Comput. Biol. Medicine Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2024	J	`jnl`	NARAIM: Native Aspect Ratio Autoregressive Image Models. CoRR Daniel Gallo Fernández, Robert van der Klis, Razvan-Andrei Matisan, Janusz Partyka, Efstratios Gavves, Samuele Papa, Phillip Lippe
2024	—	`conf`	Towards the Reusability and Compositionality of Causal Representations. CLeaR Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane
2024	J	`jnl`	Towards the Reusability and Compositionality of Causal Representations. CoRR Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane
2023	A	`conf`	BISCUIT: Causal Representation Learning from Binary Interactions. UAI Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2023	J	`jnl`	BISCUIT: Causal Representation Learning from Binary Interactions. CoRR Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2023	A*	`conf`	Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. ICLR Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2023	A*	`conf`	Differentiable Mathematical Programming for Object-Centric Representation Learning. ICLR Adeel Pervez, Phillip Lippe, Efstratios Gavves
2023	J	`jnl`	How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
2023	A*	`conf`	PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. NeurIPS Phillip Lippe, Bas Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter
2023	J	`jnl`	PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. CoRR Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter
2023	A*	`conf`	Rotating Features for Object Discovery. NeurIPS Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
2023	J	`jnl`	Rotating Features for Object Discovery. CoRR Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
2023	A*	`conf`	Scalable Subset Sampling with Neural Conditional Poisson Networks. ICLR Adeel Pervez, Phillip Lippe, Efstratios Gavves
2022	A*	`conf`	CITRIS: Causal Identifiability from Temporal Intervened Sequences. ICML Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Stratis Gavves
2022	J	`jnl`	CITRIS: Causal Identifiability from Temporal Intervened Sequences. CoRR Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2022	J	`jnl`	Complex-Valued Autoencoders for Object Discovery. CoRR Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling
2022	J	`jnl`	Complex-Valued Autoencoders for Object Discovery. Trans. Mach. Learn. Res. Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling
2022	J	`jnl`	Differentiable Mathematical Programming for Object-Centric Representation Learning. CoRR Adeel Pervez, Phillip Lippe, Efstratios Gavves
2022	A*	`conf`	Efficient Neural Causal Discovery without Acyclicity Constraints. ICLR Phillip Lippe, Taco Cohen, Efstratios Gavves
2022	J	`jnl`	Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall. CoRR Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2022	—	`conf`	Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing. ACL (1) Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, Ekaterina Shutova
2022	A*	`conf`	Weakly supervised causal representation learning. NeurIPS Johann Brehmer, Pim de Haan, Phillip Lippe, Taco S. Cohen
2022	J	`jnl`	Weakly supervised causal representation learning. CoRR Johann Brehmer, Pim de Haan, Phillip Lippe, Taco Cohen
2022	J	`jnl`	iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. CoRR Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
2021	A*	`conf`	Categorical Normalizing Flows via Continuous Transformations. ICLR Phillip Lippe, Efstratios Gavves
2021	J	`jnl`	Efficient Neural Causal Discovery without Acyclicity Constraints. CoRR Phillip Lippe, Taco Cohen, Efstratios Gavves
2021	—	`conf`	Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. STACOM@MICCAI Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2021	J	`jnl`	Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. CoRR Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2021	J	`jnl`	Meta-learning for fast cross-lingual adaptation in dependency parsing. CoRR Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, Ekaterina Shutova
2020	J	`jnl`	A Multimodal Framework for the Detection of Hateful Memes. CoRR Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis
2020	J	`jnl`	Categorical Normalizing Flows via Continuous Transformations. CoRR Phillip Lippe, Efstratios Gavves
2020	J	`jnl`	Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing. CoRR Phillip Lippe, Pengjie Ren, Hinda Haned, Bart Voorn, Maarten de Rijke
2020	—	`conf`	The Hateful Memes Challenge: Competition Report. NeurIPS (Competition and Demos) Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Casey A. Fitzpatrick, Peter Bull, Greg Lipstein, Tony Nelli, Ron Zhu, Niklas Muennighoff, Riza Velioglu, Jewgeni Rose, Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis, Vlad Sandulescu, Umut Ozertem, Patrick Pantel, Lucia Specia, Devi Parikh