Publications

Contextual Causal Bayesian Optimisation (2026)
ICLR 2026
Vahan Arsenyan, Antoine Grosnit, Haitham Bou-Ammar, Arnak Dalalyan
Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds (2025)
NeurIPS 2025
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
Large Language Models for Biomedical Knowledge Graph Construction: Information Extraction from EMR Notes (2024)
BioNLP 2024
Vahan Arsenyan, Spartak Bughdaryan, Fadi Shaya, Kent Small, Davit Shahnazaryan
Large Language Models for Biomedical Causal Graph Construction (2023)
arXiv 2023
Vahan Arsenyan, Davit Shahnazaryan

Software

banditry: an online learning framework with optimism-in-the-face-of-uncertainty and posterior-sampling agents (2026)
Open-source Python library (MIT), PyPI: banditry
Vahan Arsenyan
Code Docs PyPI DOI

Services

  • Reviewer for ICLR 2027
  • Top Reviewer for NeurIPS 2026