Publications

2020

  1. Ren Wang, Meng Wang, Jinjun Xiong, “Tensor recovery from quantized measurements.” submitted to The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) 2020, under review.

2019

  1. David Dahlbom and Jonas Braasch (2019): "Multiple f0 pitch estimation for musical applications using dynamic Bayesian networks and learned priors." The Journal of the Acoustical Society of America 145, 1814.

  2. Nathan Keil, David Dahlbom, Jeremy Stewart, Matthew Goodheart, Curtis Bahn, Mary Simoni, Michael Perrone, Jonas Braasch (2019). "Polyphonic pitch perception in rooms using deep learning networks with data rendered in auditory virtual environments." Proceedings of the Acoustical Society of America.

  3. Lerch, R. A. & Sims, C. R. (2019a). "Rate-Distortion Theory and Computationally Rational Reinforcement Learning." Proceedings of Reinforcement Learning and Decision Making (RLDM) 2019, Montreal, Canada.

  4. Malloy, T. J., Lerch, R. A., Fang, Z. & Sims, C. R. (2019). "Predicting Human Choice in a Multi-Dimensional N-Armed Bandit Task Using Actor-Critic Feature Reinforcement Learning." Proceedings of Reinforcement Learning and Decision Making (RLDM) 2019, Montreal, Canada.

  5. Mengyi Li, Lirong Xia and Oshani Seneviratne. “Leveraging Standards Based Ontological Concepts in Distributed Ledgers: A Healthcare Smart Contract Example”; Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures 2019.

  6. Shuze Liu, Farhad Mohsin, Lirong Xia and Oshani Seneviratne. “Strengthening Smart Contracts to Handle Unexpected Situations”; Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures 2019.

  7. Jeremy Stewart, Matthew Goodheart, Curtis Bahn, Mary Simoni, Jonas Braasch (2019). "Music Intelligence and Knowledge Agent (MIKA)." Proceedings of the International Computer Music Conference.

  8. Ren Wang, Meng Wang, Jinjun Xiong, “Achieve Data Privacy and Clustering Accuracy Simultaneously Through Quantized Data Recovery,” submitted to  EURASIP Journal on Advances in Signal Processing, October 2019, (under review)

  9. Yanlin Zhu, Lirong Xia, and Oshani Seneviratne. “A Proposal for Account Recovery in Decentralized Applications”; Proceedings of the IEEE Blockchain Conference 2019.

2018

  1. Bringsjord, S., G., Naveen S., Sen, A., Peveler, M., Srivastava, B., Talamadupula, K. (2018). "Tentacular Artificial Intelligence, and the Architecture Thereof, Introduced." In the Proceedings of the 1st International FAIM Workshop on Architectures and Evaluation for Generality, Autonomy & Progress in AI (AEGAP 2018), Stockholm, Sweden, 2018, held in conjunction with IJCAI-ECAI 2018, AAMAS 2018 and ICML 2018.

  2. Lerch, R. A. & Sims, C. R. (2018). "Exploration and policy generalization in capacity-limited reinforcement learning." Proceedings of the International Conference on Machine Learning (ICML) Workshop on Exploration in RL, Stockholm, Sweden.

  3. Peveler, M., G., Naveen S., Bringsjord, S., Sen, A. et al. "Toward Cognitive-and-Immersive Systems: Experiments in a Cognitive Microworld." Forthcoming in the Proceedings of the 6th Annual Conference on Advances in Cognitive Systems, Stanford, CA, USA, 2018.

  4. Sen, A., G., Naveen S., Bringsjord, S., Ghosh, R., Mayol, P., Srivastava, B., Talamadupula, K. (2018). "Toward a Smart City using Tentacular AI." Proceedings of the 2018 European Conference on Ambient Intelligence, Larnaca, Cyprus, 2018.

  5. Ren Wang, Meng Wang, and Jinjun Xiong. "Data Recovery and Subspace Clustering from Quantized and Corrupted Measurements." IEEE Journal of Selected Topics in Signal Processing, Special Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications, 2018, 12(6): 1547-1560.