Publications

258 / 3,738 publications found.


  •  Chatterjee, M., Ahuja, N., Cherian, A., "Quantifying Predictive Uncertainty for Stochastic Video Synthesis from Audio", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2022.
    BibTeX TR2022-082 PDF
    • @inproceedings{Chatterjee2022jun,
    • author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
    • title = {Quantifying Predictive Uncertainty for Stochastic Video Synthesis from Audio},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    • year = 2022,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2022-082}
    • }
  •  Bonzanini, A.D., Mesbah, A., Di Cairano, S., "Multi-stage Perception-aware Chance-constrained MPC with Applications to Automated Driving", American Control Conference (ACC), DOI: 10.23919/​ACC53348.2022.9867264, June 2022.
    BibTeX TR2022-062 PDF
    • @inproceedings{Bonzanini2022jun,
    • author = {Bonzanini, Angelo Domenico and Mesbah, Ali and Di Cairano, Stefano},
    • title = {Multi-stage Perception-aware Chance-constrained MPC with Applications to Automated Driving},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • month = jun,
    • doi = {10.23919/ACC53348.2022.9867264},
    • url = {https://www.merl.com/publications/TR2022-062}
    • }
  •  Jung, M., Kojima, K., Koike-Akino, T., Wang, Y., Zhu, D., Brand, M., "Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_SI.2022.SW5E.6, May 2022.
    BibTeX TR2022-047 PDF Video Presentation
    • @inproceedings{Jung2022may,
    • author = {Jung, Minwoo and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Zhu, Dayu and Brand, Matthew},
    • title = {Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2022,
    • month = may,
    • publisher = {Optica},
    • doi = {10.1364/CLEO_SI.2022.SW5E.6},
    • isbn = {978-1-957171-05-0},
    • url = {https://www.merl.com/publications/TR2022-047}
    • }
  •  Koike-Akino, T., Kojima, K., Wang, Y., "AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_AT.2022.JW3A.44, May 2022.
    BibTeX TR2022-046 PDF Presentation
    • @inproceedings{Koike-Akino2022may3,
    • author = {Koike-Akino, Toshiaki and Kojima, Keisuke and Wang, Ye},
    • title = {AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2022,
    • month = may,
    • publisher = {Optica},
    • doi = {10.1364/CLEO_AT.2022.JW3A.44},
    • isbn = {978-1-957171-05-0},
    • url = {https://www.merl.com/publications/TR2022-046}
    • }
  •  Higuchi, Y., Moritz, N., Le Roux, J., Hori, T., "Advancing Momentum Pseudo-Labeling with Conformer and Initialization Strategy", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9746275, April 2022, pp. 7672-7676.
    BibTeX TR2022-026 PDF
    • @inproceedings{Higuchi2022apr,
    • author = {Higuchi, Yosuke and Moritz, Niko and Le Roux, Jonathan and Hori, Takaaki},
    • title = {Advancing Momentum Pseudo-Labeling with Conformer and Initialization Strategy},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • pages = {7672--7676},
    • month = apr,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP43922.2022.9746275},
    • url = {https://www.merl.com/publications/TR2022-026}
    • }
  •  Shah, A.P., Geng, S., Gao, P., Cherian, A., Hori, T., Marks, T.K., Le Roux, J., Hori, C., "Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2022, pp. 7732-7736.
    BibTeX TR2022-019 PDF
    • @inproceedings{Shah2022apr,
    • author = {Shah, Ankit Parag and Geng, Shijie and Gao, Peng and Cherian, Anoop and Hori, Takaaki and Marks, Tim K. and Le Roux, Jonathan and Hori, Chiori},
    • title = {Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • pages = {7732--7736},
    • month = apr,
    • publisher = {IEEE},
    • issn = {1520-6149},
    • isbn = {978-1-6654-0540-9},
    • url = {https://www.merl.com/publications/TR2022-019}
    • }
  •  Anantharaman, R., Abdelrahim, A., Martinuzzi, F., Yalburgi, S., Saba, E., Fischer, K., Hertz, G., de Vos, P., Laughman, C.R., Ma, Y., Shah, V., Edelman, A., Rackauckas, C., "Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components", AAAI 2022 Workshop on AI based Design and Manufacturing, March 2022.
    BibTeX TR2022-034 PDF
    • @inproceedings{Anantharaman2022mar,
    • author = {Anantharaman, Ranjan and Abdelrahim, Anas and Martinuzzi, Francesco and Yalburgi, Sharan and Saba, Elliot and Fischer, Keno and Hertz, Glen and de Vos, Pepijn and Laughman, Christopher R. and Ma, Yingbo and Shah, Viral and Edelman, Alan and Rackauckas, Chris},
    • title = {Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components},
    • booktitle = {AAAI 2022 Workshop on AI based Design and Manufacturing},
    • year = 2022,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2022-034}
    • }
  •  Medin, S.C., Egger, B., Cherian, A., Wang, Y., Tenenbaum, J.B., Liu, X., Marks, T.K., "MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation", AAAI Conference on Artificial Intelligence, DOI: 10.1609/​aaai.v36i2.20091, February 2022, pp. 1962-1971.
    BibTeX TR2022-011 PDF Video Data Presentation
    • @inproceedings{Medin2022feb,
    • author = {Medin, Safa C. and Egger, Bernhard and Cherian, Anoop and Wang, Ye and Tenenbaum, Joshua B. and Liu, Xiaoming and Marks, Tim K.},
    • title = {MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2022,
    • pages = {1962--1971},
    • month = feb,
    • doi = {10.1609/aaai.v36i2.20091},
    • url = {https://www.merl.com/publications/TR2022-011}
    • }
  •  Yu, L., Liu, D., Mansour, H., Boufounos, P.T., "Fast and High-Quality Blind Multi-Spectral Image Pansharpening", IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/​TGRS.2021.3091329, Vol. 60, pp. 1-17, January 2022.
    BibTeX TR2022-004 PDF Video
    • @article{Yu2022jan,
    • author = {Yu, Lantao and Liu, Dehong and Mansour, Hassan and Boufounos, Petros T.},
    • title = {Fast and High-Quality Blind Multi-Spectral Image Pansharpening},
    • journal = {IEEE Transactions on Geoscience and Remote Sensing},
    • year = 2022,
    • volume = 60,
    • pages = {1--17},
    • month = jan,
    • doi = {10.1109/TGRS.2021.3091329},
    • issn = {1558-0644},
    • url = {https://www.merl.com/publications/TR2022-004}
    • }
  •  Teo, K.H., Zhang, Y., Chowdhury, N., Rakheja, S., Ma, R., Xie, Q., Yagyu, E., Yamanaka, K., Li, K., Palacios, T., "Emerging GaN technologies for power, RF, digital and quantum computing applications: recent advances and prospects", Journal of Applied Physics, DOI: 10.1063/​5.0061555, December 2021.
    BibTeX TR2022-002 PDF
    • @article{Teo2021dec,
    • author = {Teo, Koon Hoo and Zhang, Yuhao and Chowdhury, Nadim and Rakheja, Shaloo and Ma, Rui and Xie, Qingyun and Yagyu, Eiji and Yamanaka, Koji and Li, Kexin and Palacios, Tomas},
    • title = {Emerging GaN technologies for power, RF, digital and quantum computing applications: recent advances and prospects},
    • journal = {Journal of Applied Physics},
    • year = 2021,
    • month = dec,
    • doi = {10.1063/5.0061555},
    • url = {https://www.merl.com/publications/TR2022-002}
    • }
  •  Zhan, S., Wichern, G., Laughman, C.R., Chakrabarty, A., "Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes", Advances in Neural Information Processing Systems (NeurIPS), December 2021.
    BibTeX TR2021-149 PDF
    • @inproceedings{Zhan2021dec,
    • author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2021,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2021-149}
    • }
  •  Kojima, K., Tang, Y., Wang, Y., Koike-Akino, T., "Machine Learning for design and optimization of photonic devices" in Machine Learning for Future Fiber Optic Communication Systems, Alan Pak Tao Lau and Faisal Nadeem Khan, Eds., DOI: 10.1016/​B978-0-32-385227-2.00018-8, pp. 337-374, Academic Press, November 2021.
    BibTeX TR2021-142 PDF
    • @incollection{Kojima2021nov,
    • author = {Kojima, Keisuke and Tang, Yingheng and Wang, Ye and Koike-Akino, Toshiaki},
    • title = {Machine Learning for design and optimization of photonic devices},
    • booktitle = {Machine Learning for Future Fiber Optic Communication Systems},
    • year = 2021,
    • editor = {Alan Pak Tao Lau and Faisal Nadeem Khan},
    • pages = {337--374},
    • month = nov,
    • publisher = {Academic Press},
    • doi = {10.1016/B978-0-32-385227-2.00018-8},
    • isbn = {978-0-323-85227-2},
    • url = {https://www.merl.com/publications/TR2021-142}
    • }
  •  Rakin, A.S., Wang, Y., Aeron, S., Koike-Akino, T., Moulin, P., Parsons, K., "Towards Universal Adversarial Examples and Defenses", IEEE Information Theory Workshop, DOI: 10.1109/​ITW48936.2021.9611439, October 2021.
    BibTeX TR2021-125 PDF Video
    • @inproceedings{Rakin2021oct,
    • author = {Rakin, Adnan S and Wang, Ye and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Parsons, Kieran},
    • title = {Towards Universal Adversarial Examples and Defenses},
    • booktitle = {IEEE Information Theory Workshop},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ITW48936.2021.9611439},
    • isbn = {978-1-6654-0312-2},
    • url = {https://www.merl.com/publications/TR2021-125}
    • }
  •  Chakrabarty, A., Quirynen, R., Romeres, D., Di Cairano, S., "Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC", IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/​SMC52423.2021.9659186, October 2021, pp. 3238-3244.
    BibTeX TR2021-126 PDF Video
    • @inproceedings{Chakrabarty2021oct,
    • author = {Chakrabarty, Ankush and Quirynen, Rien and Romeres, Diego and Di Cairano, Stefano},
    • title = {Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC},
    • booktitle = {IEEE International Conference on Systems, Man, and Cybernetics},
    • year = 2021,
    • pages = {3238--3244},
    • month = oct,
    • doi = {10.1109/SMC52423.2021.9659186},
    • url = {https://www.merl.com/publications/TR2021-126}
    • }
  •  Wang, B., Zhou, L., Wang, H., Lin, C., "Analytical Modeling and Design Optimization of a Vernier Permanent Magnet Motor", IEEE Energy Conversion Congress and Exposition (ECCE), DOI: 10.1109/​ECCE47101.2021.9595230, October 2021, pp. 4480-4485.
    BibTeX TR2021-124 PDF
    • @inproceedings{Wang2021oct3,
    • author = {Wang, Bingnan and Zhou, Lei and Wang, Hongyu and Lin, Chungwei},
    • title = {Analytical Modeling and Design Optimization of a Vernier Permanent Magnet Motor},
    • booktitle = {2021 IEEE Energy Conversion Congress and Exposition (ECCE)},
    • year = 2021,
    • pages = {4480--4485},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ECCE47101.2021.9595230},
    • url = {https://www.merl.com/publications/TR2021-124}
    • }
  •  Chatterjee, M., Ahuja, N., Cherian, A., "A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction", IEEE International Conference on Computer Vision (ICCV), October 2021, pp. 9751-9761.
    BibTeX TR2021-096 PDF Video
    • @inproceedings{Chatterjee2021oct2,
    • author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
    • title = {A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction},
    • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
    • year = 2021,
    • pages = {9751--9761},
    • month = oct,
    • url = {https://www.merl.com/publications/TR2021-096}
    • }
  •  Cherian, A., Pais, G., Jain, S., Marks, T.K., Sullivan, A., "InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images", IEEE International Conference on Computer Vision (ICCV), October 2021, pp. 10023-10032.
    BibTeX TR2021-097 PDF Video Data Software Presentation
    • @inproceedings{Cherian2021oct,
    • author = {Cherian, Anoop and Pais, Goncalo and Jain, Siddarth and Marks, Tim K. and Sullivan, Alan},
    • title = {InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images},
    • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
    • year = 2021,
    • pages = {10023--10032},
    • month = oct,
    • publisher = {CVF},
    • url = {https://www.merl.com/publications/TR2021-097}
    • }
  •  Higuchi, Y., Moritz, N., Le Roux, J., Hori, T., "Momentum Pseudo-Labeling for Semi-Supervised Speech Recognition", Interspeech, DOI: 10.21437/​Interspeech.2021-571, September 2021, pp. 726-730.
    BibTeX TR2021-103 PDF
    • @inproceedings{Higuchi2021sep,
    • author = {Higuchi, Yosuke and Moritz, Niko and Le Roux, Jonathan and Hori, Takaaki},
    • title = {Momentum Pseudo-Labeling for Semi-Supervised Speech Recognition},
    • booktitle = {Interspeech},
    • year = 2021,
    • pages = {726--730},
    • month = sep,
    • doi = {10.21437/Interspeech.2021-571},
    • url = {https://www.merl.com/publications/TR2021-103}
    • }
  •  Chakrabarty, A., Benosman, M., "Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization", Automatica, DOI: 10.1016/​j.automatica.2021.109860, August 2021.
    BibTeX TR2021-101 PDF
    • @article{Chakrabarty2021aug,
    • author = {Chakrabarty, Ankush and Benosman, Mouhacine},
    • title = {Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization},
    • journal = {Automatica},
    • year = 2021,
    • month = aug,
    • doi = {10.1016/j.automatica.2021.109860},
    • url = {https://www.merl.com/publications/TR2021-101}
    • }
  •  Hyder, R., Mansour, H., Ma, Y., Boufounos, P.T., Wang, P., "A Consensus Equilibrium Solution for Deep Image Prior Powered by Red", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP39728.2021.9414290, June 2021, pp. 1380-1384.
    BibTeX TR2021-046 PDF
    • @inproceedings{Hyder2021jun,
    • author = {{Hyder, Rakib and Mansour, Hassan and Ma, Yanting and Boufounos, Petros T. and Wang, Pu}},
    • title = {A Consensus Equilibrium Solution for Deep Image Prior Powered by Red},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2021,
    • pages = {1380--1384},
    • month = jun,
    • doi = {10.1109/ICASSP39728.2021.9414290},
    • issn = {2379-190X},
    • isbn = {978-1-7281-7605-5},
    • url = {https://www.merl.com/publications/TR2021-046}
    • }
  •  Moritz, N., Hori, T., Le Roux, J., "Semi-Supervised Speech Recognition via Graph-Based Temporal Classification", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP39728.2021.9414058, June 2021, pp. 6548-6552.
    BibTeX TR2021-037 PDF
    • @inproceedings{Moritz2021jun2,
    • author = {Moritz, Niko and Hori, Takaaki and Le Roux, Jonathan},
    • title = {Semi-Supervised Speech Recognition via Graph-Based Temporal Classification},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2021,
    • pages = {6548--6552},
    • month = jun,
    • doi = {10.1109/ICASSP39728.2021.9414058},
    • url = {https://www.merl.com/publications/TR2021-037}
    • }
  •  Zhou, L., Guo, F., Wang, H., Wang, B., "High-Torque Direct-Drive Machine with Combined Axial- and Radial-flux Out-runner Vernier Permanent Magnet Motor", IEEE International Electric Machines and Drives Conference (IEMDC), DOI: 10.1109/​IEMDC47953.2021.9449499, May 2021, pp. 1-8.
    BibTeX TR2021-050 PDF
    • @inproceedings{Zhou2021may,
    • author = {Zhou, Lei and Guo, Feng and Wang, Hongyu and Wang, Bingnan},
    • title = {High-Torque Direct-Drive Machine with Combined Axial- and Radial-flux Out-runner Vernier Permanent Magnet Motor},
    • booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
    • year = 2021,
    • pages = {1--8},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/IEMDC47953.2021.9449499},
    • url = {https://www.merl.com/publications/TR2021-050}
    • }
  •  Zhou, L., Wang, B., Lin, C., Miyoshi, M., Inoue, H., "Static Eccentricity Fault Detection for PSH-type Induction Motors Considering High-order Air Gap Permeance Harmonics", IEEE International Electric Machines and Drives Conference (IEMDC), DOI: 10.1109/​IEMDC47953.2021.9449496, May 2021, pp. 1-7.
    BibTeX TR2021-051 PDF
    • @inproceedings{Zhou2021may2,
    • author = {Zhou, Lei and Wang, Bingnan and Lin, Chungwei and Miyoshi, Masahito and Inoue, hiroshi},
    • title = {Static Eccentricity Fault Detection for PSH-type Induction Motors Considering High-order Air Gap Permeance Harmonics},
    • booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
    • year = 2021,
    • pages = {1--7},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/IEMDC47953.2021.9449496},
    • url = {https://www.merl.com/publications/TR2021-051}
    • }
  •  Tang, Y., Kojima, K., Koike-Akino, T., Wang, Y., Jha, D.K., Parsons, K., Qi, M., "Nano-Optic Broadband Power Splitter Design via Cycle-Consistent Adversarial Deep Learning", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_SI.2021.SW4E.1, May 2021.
    BibTeX TR2021-045 PDF Presentation
    • @inproceedings{Tang2021may3,
    • author = {Tang, Yingheng and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh K. and Parsons, Kieran and Qi, Minghao},
    • title = {Nano-Optic Broadband Power Splitter Design via Cycle-Consistent Adversarial Deep Learning},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2021,
    • month = may,
    • doi = {10.1364/CLEO_SI.2021.SW4E.1},
    • url = {https://www.merl.com/publications/TR2021-045}
    • }
  •  Anantharaman, R., Ma, Y., Gowda, S., Laughman, C.R., Shah, V., Edelman, A., Rackauckas, C., "Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks", AAAI Spring Symposium on Combining Artificial Intelligence with Physical Sciences, March 2021.
    BibTeX TR2021-021 PDF
    • @inproceedings{Anantharaman2021mar,
    • author = {Anantharaman, Ranjan and Ma, Yingbo and Gowda, Shashi and Laughman, Christopher R. and Shah, Viral and Edelman, Alan and Rackauckas, Chris},
    • title = {Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks},
    • booktitle = {AAAI Spring Symposium on Combining Artificial Intelligence with Physical Sciences},
    • year = 2021,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2021-021}
    • }