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Siddarth Srinivasan
Siddarth Srinivasan
Verified email at seas.harvard.edu
Title
Cited by
Cited by
Year
Learning deep features in instrumental variable regression
L Xu, Y Chen, S Srinivasan, N de Freitas, A Doucet, A Gretton
arXiv preprint arXiv:2010.07154, 2020
532020
Learning Hidden Quantum Markov Models
S Srinivasan, G Gordon, B Boots
Proceedings of the Twenty-First International Conference on Artificial …, 2017
462017
A Simple and Effective Approach to the Story Cloze Test
S Srinivasan, R Arora, M Riedl
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
292018
Learning and Inference in Hilbert Space with Quantum Graphical Models
S Srinivasan, C Downey, B Boots
32nd Conf. Neural Inf. Process. Syst. (NIPS 2018), 10338-10347, 2018
252018
Quantum tensor networks, stochastic processes, and weighted automata
S Adhikary, S Srinivasan, J Miller, G Rabusseau, B Boots
International Conference on Artificial Intelligence and Statistics, 2080-2088, 2021
16*2021
Expressiveness and Learning of Hidden Quantum Markov Models
S Adhikary, S Srinivasan, G Gordon, B Boots
Proceedings of the Twenty-Third International Conference on Artificial …, 2019
112019
Learning quantum graphical models using constrained gradient descent on the stiefel manifold
S Adhikary, S Srinivasan, B Boots
arXiv preprint arXiv:1903.03730, 2019
102019
Expressing coherent personality with incremental acquisition of multimodal behaviors
P Mota, M Paetzel, A Fox, A Amini, S Srinivasan, J Kennedy
2018 27th IEEE International Symposium on Robot and Human Interactive …, 2018
92018
Auctions and peer prediction for academic peer review
S Srinivasan, J Morgenstern
arXiv preprint arXiv:2109.00923, 2021
8*2021
Scalable measurement error mitigation via iterative bayesian unfolding
B Pokharel, S Srinivasan, G Quiroz, B Boots
Physical Review Research 6 (1), 013187, 2024
6*2024
Towards a trace-preserving tensor network representation of quantum channels
S Srinivasan, S Adhikary, J Miller, B Pokharel, G Rabusseau, B Boots
Second Workshop on Quantum Tensor Networks in Machine Learning, 35th …, 2021
52021
Compressed sensing environmental mapping by an autonomous robot
M Horning, M Lin, S Siddarth, S Zou, M Haberland, K Yin, AL Bertozzi
Proceedings of the Second International Workshop on Robotic Sensor Networks …, 2015
22015
Quantum-inspired Machine Learning with Hidden Quantum Markov Models and Tensor Networks
S Srinivasan
University of Washington, 2022
12022
Self-Resolving Prediction Markets for Unverifiable Outcomes
S Srinivasan, E Karger, Y Chen
arXiv preprint arXiv:2306.04305, 2023
2023
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