Publications

Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
- - Turgay Caglar
  - Sirine Belhaj
  - et al.
- 2024
- AAAI 2024
Conference paper
Provably Powerful Graph Neural Networks for Directed Multigraphs
- - Béni Egressy
  - Luc von Niederhäusern
  - et al.
- 2024
- AAAI 2024
Conference paper
Generalized Planning in PDDL Domains with Pretrained Large Language Models
- - Tom Silver
  - Soham Dan
  - et al.
- 2024
- AAAI 2024
Conference paper
3D-LLM: Injecting the 3D World into Large Language Models
- - Yining Hong
  - Haoyu Zhen
  - et al.
- 2023
- NeurIPS 2023
Conference paper
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
- - Benedikt Blumenstiel
  - Johannes Jakubik
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
- - Erik Altman
  - Jovan Blanusa
  - et al.
- 2023
- NeurIPS 2023
Conference paper
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- - Nicolas Menet
  - Michael Hersche
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Model Sparsity Can Simplify Machine Unlearning
- - Jinghan Jia
  - Jiancheng Liu
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Acto: Automatic End-to-End Testing for Operation Correctness of Cloud System Management
- - Jiawei Tyler Gu
  - Xudong Sun
  - et al.
- 2023
- SOSP 2023
Conference paper
Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and Insertions
- - Kanat Tangwongsan
  - Martin Hirzel
  - et al.
- 2023
- VLDB 2023
Conference paper