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Siddarth Srinivasan
Siddarth Srinivasan
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
Learning Hidden Quantum Markov Models
S Srinivasan, G Gordon, B Boots
Proceedings of the Twenty-First International Conference on Artificial …, 2017
312017
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
252020
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
232018
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
172018
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
122021
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
82019
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
62018
Learning quantum graphical models using constrained gradient descent on the stiefel manifold
S Adhikary, S Srinivasan, B Boots
arXiv preprint arXiv:1903.03730, 2019
52019
Compressed sensing environmental mapping by an autonomous robot
M Horning, M Lin, S Srinivasan, S Zou, M Haberland, K Yin, A Bertozzi
Proceedings of the Second International Workshop on Robotic Sensor Networks …, 2015
22015
Scalable Measurement Error Mitigation via Iterative Bayesian Unfolding
S Srinivasan, B Pokharel, G Quiroz, B Boots
arXiv preprint arXiv:2210.12284, 2022
12022
Auctions and prediction markets for scientific peer review
S Srinivasan, J Morgenstern
arXiv preprint arXiv:2109.00923, 2021
12021
Towards a Trace-Preserving Tensor Network Representation of Quantum Channels
S Srinivasan, S Adhikary, J Miller, B Pokharel, G Rabusseau, B Boots
First Workshop on Quantum Tensor Networks in Machine Learning In conjunction …, 2021
12021
Quantum-inspired Machine Learning with Hidden Quantum Markov Models and Tensor Networks
S Srinivasan
2022
Auctions and Peer Prediction for Scientific Peer Review
S Srinivasan, J Morgenstern
ArXivorg, 2021
2021
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