Publications

Fairness-Aware Structured Pruning in Transformers
- - Abdelrahman Zayed
  - Gonçalo Mordido
  - et al.
- 2024
- AAAI 2024
Conference paper
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
- - Naiyu Yin
  - Tian Gao
  - et al.
- 2024
- AAAI 2024
Conference paper
Knowledge Enhanced Representation Learning for Drug Discovery
- - Thanh Lam Hoang
  - Marco Luca Sbodio
  - et al.
- 2024
- AAAI 2024
Conference paper
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
- - Yuying Zhao
  - Yu Wang
  - et al.
- 2024
- AAAI 2024
Conference paper
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