Learning from Incomplete Ratings using Nonlinear Multi-layer Semi-Nonnegative Matrix Factorization. - Vaibhav Krishna; Nino Antulov-Fantulin (CoRR, 2017)

Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. - Vaibhav Krishna; Tian Guo 002; Nino Antulov-Fantulin (ICDM Workshops, 2018)

Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges. - Yash Raj Shrestha; Vaibhav Krishna; Georg von Krogh (CoRR, 2020)

Topic Community Based Temporal Expertise for Question Routing. - Vaibhav Krishna; Vaiva Vasiliauskaite; Nino Antulov-Fantulin (CoRR, 2022)

Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion. - Vaibhav Krishna; Nino Antulov-Fantulin (CoRR, 2022)

Question routing via activity-weighted modularity-enhanced factorization. - Vaibhav Krishna; Vaiva Vasiliauskaite; Nino Antulov-Fantulin (Soc. Netw. Anal. Min., 2022)

Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering. - Vaibhav Krishna; Nino Antulov-Fantulin (UMAP, 2023)

Countering the Forgetting of Novel Health Information with 'Social Boosting'. - Vaibhav Krishna; Nicholas A. Christakis (CoRR, 2025)