Learning Hidden Quantum Markov Models. - Siddarth Srinivasan; Geoffrey J. Gordon; Byron Boots (AISTATS, 2018)

A Simple and Effective Approach to the Story Cloze Test. - Siddarth Srinivasan; Richa Arora; Mark O. Riedl (NAACL-HLT (2), 2018)

Learning and Inference in Hilbert Space with Quantum Graphical Models. - Siddarth Srinivasan; Carlton Downey; Byron Boots (NeurIPS, 2018)

Expressing Coherent Personality with Incremental Acquisition of Multimodal Behaviors. - Pedro Mota; Maike Paetzel; Andrea Fox; Aida Amini; Siddarth Srinivasan; James Kennedy 001 (RO-MAN, 2018)

Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold. - Sandesh Adhikary; Siddarth Srinivasan; Byron Boots (CoRR, 2019)

Expressiveness and Learning of Hidden Quantum Markov Models. - Sandesh Adhikary; Siddarth Srinivasan; Geoffrey J. Gordon; Byron Boots (AISTATS, 2020)

Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. - Sandesh Adhikary; Siddarth Srinivasan; Jacob Miller 003; Guillaume Rabusseau; Byron Boots (AISTATS, 2021)

Learning Deep Features in Instrumental Variable Regression. - Liyuan Xu; Yutian Chen 001; Siddarth Srinivasan; Nando de Freitas; Arnaud Doucet; Arthur Gretton (ICLR, 2021)

Auctions and Prediction Markets for Scientific Peer Review. - Siddarth Srinivasan; Jamie Morgenstern (CoRR, 2021)

Quantum-inspired Machine Learning with Hidden Quantum Markov Models and Tensor Networks - Siddarth Srinivasan (2022)

Self-Resolving Prediction Markets for Unverifiable Outcomes. - Siddarth Srinivasan; Ezra Karger; Yiling Chen 001 (EC, 2025)

Tell Me Why: Incentivizing Explanations. - Siddarth Srinivasan; Ezra Karger; Michiel Bakker; Yiling Chen (CoRR, 2025)