Publications

Provably Powerful Graph Neural Networks for Directed Multigraphs
- - Béni Egressy
  - Luc von Niederhäusern
  - et al.
- 2024
- AAAI 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
- - Walter Gerych
  - Yara Rizk
  - et al.
- 2024
- AAAI 2024
STERLING: Synergistic Representation Learning on Bipartite Graphs
- - Baoyu Jing
  - Yuchen Yan
  - et al.
- 2024
- AAAI 2024
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
- - Pin-Yu Chen
- 2024
- AAAI 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
- - Clyde Fare
  - George K. Holt
  - et al.
- 2024
- AAAI 2024
Interactive Human-Centric Bias Mitigation
- - Inge Vejsbjerg
  - Elizabeth M. Daly
  - et al.
- 2024
- AAAI 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- - Shengwei An
  - Sheng-Yen Chou
  - et al.
- 2024
- AAAI 2024
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models
- - Manish Nagireddy
  - Lamogha Chiazor
  - et al.
- 2024
- AAAI 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
- - Naiyu Yin
  - Tian Gao
  - et al.
- 2024
- AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
- - Anh Duc Nguyen
  - Tuan Dung Nguyen
  - et al.
- 2024
- AAAI 2024