Publications

587 / 3,739 publications found.


  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Soft 2D-to-3D Delivery Using Deep Graph Neural Networks for Holographic-Type Communication", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10095882, May 2023.
    BibTeX TR2023-031 PDF
    • @inproceedings{Fujihashi2023may,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
    • title = {Soft 2D-to-3D Delivery Using Deep Graph Neural Networks for Holographic-Type Communication},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10095882},
    • isbn = {978-1-7281-6327-7},
    • url = {https://www.merl.com/publications/TR2023-031}
    • }
  •  Jeon, E.S., Lohit, S., Anirudh, R., Turaga, P., "Robust Time Series Recovery and Classification Using Test-time Noise Simulator Networks", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10096888, May 2023.
    BibTeX TR2023-021 PDF Presentation
    • @inproceedings{Jeon2023may,
    • author = {Jeon, Eun Som and Lohit, Suhas and Anirudh, Rushil and Turaga, Pavan},
    • title = {Robust Time Series Recovery and Classification Using Test-time Noise Simulator Networks},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10096888},
    • url = {https://www.merl.com/publications/TR2023-021}
    • }
  •  Cherian, A., Peng, K.-C., Lohit, S., Smith, K., Tenenbaum, J.B., "Are Deep Neural Networks SMARTer than Second Graders?", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), March 2023, pp. 10834-10844.
    BibTeX TR2023-014 PDF Video Data Software Presentation
    • @inproceedings{Cherian2023mar,
    • author = {Cherian, Anoop and Peng, Kuan-Chuan and Lohit, Suhas and Smith, Kevin and Tenenbaum, Joshua B.},
    • title = {Are Deep Neural Networks SMARTer than Second Graders?},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2023,
    • pages = {10834--10844},
    • month = mar,
    • publisher = {CVF},
    • url = {https://www.merl.com/publications/TR2023-014}
    • }
  •  Sharma, A., Zhang, J., Nikovski, D., Doshi-Velez, F., "Travel-time prediction using neural-network-based mixture models", International Workshop on Statistical Methods and Artificial Intelligence, DOI: 10.1016/​j.procs.2023.03.144, March 2023.
    BibTeX TR2023-012 PDF
    • @inproceedings{Sharma2023mar,
    • author = {Sharma, Abhishek and Zhang, Jing and Nikovski, Daniel and Doshi-Velez, Finale},
    • title = {Travel-time prediction using neural-network-based mixture models},
    • booktitle = {International Workshop on Statistical Methods and Artificial Intelligence},
    • year = 2023,
    • month = mar,
    • doi = {10.1016/j.procs.2023.03.144},
    • url = {https://www.merl.com/publications/TR2023-012}
    • }
  •  Wang, Y., Zhang, J., Nikovski, D., Kojima, T., "Estimating Traffic Density Using Transformer Decoders", International Workshop on Statistical Methods and Artificial Intelligence, DOI: 10.1016/​j.procs.2023.03.143, March 2023.
    BibTeX TR2023-011 PDF
    • @inproceedings{Wang2023mar,
    • author = {Wang, Yinsong and Zhang, Jing and Nikovski, Daniel and Kojima, Takuro},
    • title = {Estimating Traffic Density Using Transformer Decoders},
    • booktitle = {International Workshop on Statistical Methods and Artificial Intelligence},
    • year = 2023,
    • month = mar,
    • doi = {10.1016/j.procs.2023.03.143},
    • url = {https://www.merl.com/publications/TR2023-011}
    • }
  •  Kantana, C., Benosman, M., Ma, R., Komatsuzaki, Y., "A System Approach for Efficiency Enhancement and Linearization Technique of Dual-Input Doherty Power Amplifier", IEEE Journal of Microwaves, February 2023.
    BibTeX TR2023-008 PDF
    • @article{Kantana2023feb,
    • author = {Kantana, Chouabi and Benosman, Mouhacine and Ma, Rui and Komatsuzaki, Y.},
    • title = {A System Approach for Efficiency Enhancement and Linearization Technique of Dual-Input Doherty Power Amplifier},
    • journal = {IEEE Journal of Microwaves},
    • year = 2023,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2023-008}
    • }
  •  Chakrabarty, A., Berntorp, K., Di Cairano, S., "Parameter-Adaptive Reference Governors with Learned Robust Constraint-Admissible Sets", Control Engineering Practice, DOI: 10.1016/​j.conengprac.2023.105450, Vol. 133, February 2023.
    BibTeX TR2023-005 PDF
    • @article{Chakrabarty2023feb,
    • author = {Chakrabarty, Ankush and Berntorp, Karl and Di Cairano, Stefano},
    • title = {Parameter-Adaptive Reference Governors with Learned Robust Constraint-Admissible Sets},
    • journal = {Control Engineering Practice},
    • year = 2023,
    • volume = 133,
    • month = feb,
    • doi = {10.1016/j.conengprac.2023.105450},
    • url = {https://www.merl.com/publications/TR2023-005}
    • }
  •  Kojima, K., Koike-Akino, T., Wang, Y., Jung Minwoo, , Brand, M., "Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder", SPIE Photonics West, DOI: 10.1117/​12.2650299, January 2023.
    BibTeX TR2023-004 PDF
    • @inproceedings{Kojima2023jan,
    • author = {Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Jung Minwoo and Brand, Matthew},
    • title = {Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder},
    • booktitle = {Proc. SPIE 12431, Photonic and Phononic Properties of Engineered Nanostructures XIII},
    • year = 2023,
    • month = jan,
    • publisher = {SPIE},
    • doi = {10.1117/12.2650299},
    • url = {https://www.merl.com/publications/TR2023-004}
    • }
  •  Liu, T., Cherian, A., "Learning a Constrained Optimizer: A Primal Method", AAAI Bridge on Constraint Programming and Machine Learning, January 2023.
    BibTeX TR2023-003 PDF
    • @inproceedings{Liu2023jan,
    • author = {Liu, Tao and Cherian, Anoop},
    • title = {Learning a Constrained Optimizer: A Primal Method},
    • booktitle = {AAAI Bridge on Constraint Programming and Machine Learning},
    • year = 2023,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2023-003}
    • }
  •  Tohme, T., Liu, D., Youcef-Toumi, K., "GSR: A Generalized Symbolic Regression Approach", Transactions on Machine Learning Research, January 2023.
    BibTeX TR2023-002 PDF
    • @article{Tohme2023jan,
    • author = {Tohme, Tony and Liu, Dehong and Youcef-Toumi, Kamal},
    • title = {GSR: A Generalized Symbolic Regression Approach},
    • journal = {Transactions on Machine Learning Research},
    • year = 2023,
    • month = jan,
    • issn = {2835-8856},
    • url = {https://www.merl.com/publications/TR2023-002}
    • }
  •  Aich, A., Peng, K.-C., Roy-Chowdhury, A.K., "Cross-Domain Video Anomaly Detection without Target Domain Adaptation", IEEE Winter Conference on Applications of Computer Vision (WACV), Crandall, D. and Gong, B. and Lee, Y. J. and Souvenir, R. and Yu, S., Eds., DOI: 10.1109/​WACV56688.2023.00261, January 2023, pp. 2578-2590.
    BibTeX TR2023-001 PDF Video Presentation
    • @inproceedings{Aich2023jan,
    • author = {Aich, Abhishek and Peng, Kuan-Chuan and Roy-Chowdhury, Amit K.},
    • title = {Cross-Domain Video Anomaly Detection without Target Domain Adaptation},
    • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
    • year = 2023,
    • editor = {Crandall, D. and Gong, B. and Lee, Y. J. and Souvenir, R. and Yu, S.},
    • pages = {2578--2590},
    • month = jan,
    • publisher = {IEEE},
    • doi = {10.1109/WACV56688.2023.00261},
    • issn = {2642-9381},
    • isbn = {978-1-6654-9346-8},
    • url = {https://www.merl.com/publications/TR2023-001}
    • }
  •  Wang, B., Albader, M., Inoue, H., Kanemaru, M., "Induction Motor Eccentricity Fault Analysis and Quantification with Modified Winding Function based Model", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.1109/​ICEMS56177.2022.9983377, December 2022, pp. 1-6.
    BibTeX TR2022-153 PDF
    • @inproceedings{Wang2022dec,
    • author = {Wang, Bingnan and Albader, Mesaad and Inoue, Hiroshi and Kanemaru, Makoto},
    • title = {Induction Motor Eccentricity Fault Analysis and Quantification with Modified Winding Function based Model},
    • booktitle = {International Conference on Electrical Machines and Systems (ICEMS)},
    • year = 2022,
    • pages = {1--6},
    • month = dec,
    • doi = {10.1109/ICEMS56177.2022.9983377},
    • url = {https://www.merl.com/publications/TR2022-153}
    • }
  •  Bhattacharya, C., Chakrabarty, A., Laughman, C.R., Qiao, H., "https://iwww.merl.com/TR/camready-4505.pdf", Modeling, Estimation and Control Conference, DOI: 10.1016/​j.ifacol.2022.11.168, December 2022, pp. 99-106.
    BibTeX TR2022-170 PDF
    • @inproceedings{Bhattacharya2022dec,
    • author = {Bhattacharya, Chandrachur and Chakrabarty, Ankush and Laughman, Christopher R. and Qiao, Hongtao},
    • title = {https://iwww.merl.com/TR/camready-4505.pdf},
    • booktitle = {Modeling, Estimation and Control Conference},
    • year = 2022,
    • pages = {99--106},
    • month = dec,
    • doi = {10.1016/j.ifacol.2022.11.168},
    • url = {https://www.merl.com/publications/TR2022-170}
    • }
  •  Talukder, K., Wang, B., Sakamoto, Y., "Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.1109/​ICEMS56177.2022.9982881, December 2022, pp. 1-4.
    BibTeX TR2022-152 PDF
    • @inproceedings{Talukder2022dec,
    • author = {Talukder, Khaled and Wang, Bingnan and Sakamoto, Yusuke},
    • title = {Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning},
    • booktitle = {International Conference on Electrical Machines and Systems (ICEMS)},
    • year = 2022,
    • pages = {1--4},
    • month = dec,
    • doi = {10.1109/ICEMS56177.2022.9982881},
    • url = {https://www.merl.com/publications/TR2022-152}
    • }
  •  Chakrabarty, A., Bortoff, S.A., Laughman, C.R., "Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation", IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/​TSMC.2022.3216790, December 2022.
    BibTeX TR2022-168 PDF Video
    • @article{Chakrabarty2022dec2,
    • author = {Chakrabarty, Ankush and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation},
    • journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/TSMC.2022.3216790},
    • url = {https://www.merl.com/publications/TR2022-168}
    • }
  •  Wang, Z.-Q., Wichern, G., Watanabe, S., Le Roux, J., "STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2022.3224285, Vol. 31, pp. 397-410, December 2022.
    BibTeX TR2022-166 PDF
    • @article{Wang2022dec2,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and Watanabe, Shinji and Le Roux, Jonathan},
    • title = {STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency},
    • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    • year = 2022,
    • volume = 31,
    • pages = {397--410},
    • month = dec,
    • doi = {10.1109/TASLP.2022.3224285},
    • issn = {2329-9304},
    • url = {https://www.merl.com/publications/TR2022-166}
    • }
  •  Mowlavi, S., Nabi, S., "Optimal Control of PDEs Using Physics-Informed Neural Networks", Advances in Neural Information Processing Systems (NeurIPS) workshop, December 2022.
    BibTeX TR2022-163 PDF
    • @inproceedings{Mowlavi2022dec,
    • author = {Mowlavi, Saviz and Nabi, Saleh},
    • title = {Optimal Control of PDEs Using Physics-Informed Neural Networks},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS) workshop},
    • year = 2022,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2022-163}
    • }
  •  Chakrabarty, A., "Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992404, December 2022.
    BibTeX TR2022-160 PDF
    • @inproceedings{Chakrabarty2022dec,
    • author = {Chakrabarty, Ankush},
    • title = {Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/CDC51059.2022.9992404},
    • url = {https://www.merl.com/publications/TR2022-160}
    • }
  •  Paulson, J.A., Sorouifar, F., Chakrabarty, A., "Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992943, December 2022.
    BibTeX TR2022-161 PDF
    • @inproceedings{Paulson2022dec,
    • author = {Paulson, Joel A. and Sorouifar, Farshud and Chakrabarty, Ankush},
    • title = {Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/CDC51059.2022.9992943},
    • url = {https://www.merl.com/publications/TR2022-161}
    • }
  •  Tu, H., Wang, Y., Li, X., Fang, H., "Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992543, December 2022.
    BibTeX TR2022-162 PDF
    • @inproceedings{Tu2022dec2,
    • author = {Tu, Hao and Wang, Yebin and Li, Xianglin and Fang, Huazhen},
    • title = {Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/CDC51059.2022.9992543},
    • url = {https://www.merl.com/publications/TR2022-162}
    • }
  •  Singla, V., Aeron, S., Koike-Akino, T., Parsons, K., Brand, M., Wang, Y., "Learning with noisy labels using low-dimensional model trajectory", NeurIPS 2022 Workshop on Distribution Shifts (DistShift), December 2022.
    BibTeX TR2022-156 PDF
    • @inproceedings{Singla2022dec,
    • author = {Singla, Vasu and Aeron, Shuchin and Koike-Akino, Toshiaki and Parsons, Kieran and Brand, Matthew and Wang, Ye},
    • title = {Learning with noisy labels using low-dimensional model trajectory},
    • booktitle = {NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications},
    • year = 2022,
    • month = dec,
    • publisher = {OpenReview},
    • url = {https://www.merl.com/publications/TR2022-156}
    • }
  •  Tu, H., Moura, S., Wang, Y., Fang, H., "Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries", Applied Energy, DOI: 10.1016/​j.apenergy.2022.120289, Vol. 329, December 2022.
    BibTeX TR2022-155 PDF
    • @article{Tu2022dec,
    • author = {Tu, Hao and Moura, Scott and Wang, Yebin and Fang, Huazhen},
    • title = {Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries},
    • journal = {Applied Energy},
    • year = 2022,
    • volume = 329,
    • month = dec,
    • doi = {10.1016/j.apenergy.2022.120289},
    • url = {https://www.merl.com/publications/TR2022-155}
    • }
  •  Romero, D., Lohit, S., "Learning Partial Equivariances from Data", Advances in Neural Information Processing Systems (NeurIPS), S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh, Eds., November 2022, pp. 36466-36478.
    BibTeX TR2022-148 PDF Software Presentation
    • @inproceedings{Romero2022nov,
    • author = {Romero, David and Lohit, Suhas},
    • title = {Learning Partial Equivariances from Data},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
    • pages = {36466--36478},
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-148}
    • }
  •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective", Advances in Neural Information Processing Systems (NeurIPS), S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh, Eds., November 2022, pp. 13456-13469.
    BibTeX TR2022-147 PDF
    • @inproceedings{Wang2022nov,
    • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
    • title = {What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
    • pages = {13456--13469},
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-147}
    • }
  •  Chakrabarty, A., Burns, D.J., Guay, M., Laughman, C.R., "Extremum seeking controller tuning for heat pump optimization using failure-robust Bayesian optimization", Journal of Process Control, DOI: 10.1016/​j.jprocont.2022.11.006, Vol. 120, pp. 86-96, November 2022.
    BibTeX TR2022-144 PDF
    • @article{Chakrabarty2022nov2,
    • author = {Chakrabarty, Ankush and Burns, Daniel J. and Guay, Martin and Laughman, Christopher R.},
    • title = {Extremum seeking controller tuning for heat pump optimization using failure-robust Bayesian optimization},
    • journal = {Journal of Process Control},
    • year = 2022,
    • volume = 120,
    • pages = {86--96},
    • month = nov,
    • doi = {10.1016/j.jprocont.2022.11.006},
    • url = {https://www.merl.com/publications/TR2022-144}
    • }