Research Internships
- Semantic Machines at Microsoft Research, summer 2021.
- Siri Knowledge group at Apple, summer 2020.
- Allen Institute for Artificial Intelligence, summer 2019.
- Fujitsu Laboratories of America, summer 2018.
- Chinese University of Hong Kong, summer 2014.
Professional Experience
- Co-organised Explainable Graph-Based Machine Learning workshop at AKBC 2021.
- Co-organised Knowledge Bases and Multiple Modalities workshop at AKBC 2019 and 2020.
- 2021: Reviewer at NeurIPS, NAACL
- 2020: Reviewer at NeurIPS, ICLR, AAAI, EMNLP
- 2019: Reviewer at NeurIPS, ICLR, EMNLP
- 2018: Reviewer at EMNLP
- Volunteer at NeurIPS 2018 and AKBC 2020.
Preprints
Conference & Journal Publications
Workshop & Symposia
- Pouya Pezeshkpour, et al,"Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions". Compound AI Systems 2024.
- Eser Kandogan, et al,"A Blueprint Architecture of Compound AI Systems for Enterprise". Compound AI Systems 2024.
- Preethi Seshadri, Pouya Pezeshkpour, Sameer Singh,"Quantifying Social Biases Using Templates is Unreliable". The TSRML workshop at NeurIPS 2022.
- Pouya Pezeshkpour, Zhengli Zhao, Sameer Singh,"On the Utility of Active Instance Selection for Few-Shot Learning". The HAMLETS workshop at NeurIPS 2020.
- Pouya Pezeshkpour, Zhengli Zhao, Sameer Singh,"Using Data Importance for Effective Active Learning". The CVPR workshop on Visual Learning with Limited Labels (VL3), 2020.
- Pouya Pezeshkpour, Yifan Tian, Sameer Singh, "Integrating Local Structure into Knowledge Graph Embeddings". SoCal NLP Symposium 2019.
- Pouya Pezeshkpour, Ramya Malursrinivasan, Ajey Chander, "Generating User-friendly Explanations for Loan Denials using GANs". NIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services.
- Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh, "Compact Factorization of Matrices Using Generalized Round-Rank". Southern California Machine Learning Symposium 2017.
Patents
Medium My Writings My Book