Publications

184 / 3,644 publications found.


  •  Mitsui, Y., Aihara, R., Hori, T., Le Roux, J., Taguchi, S., "Exploring Keyword Enrollment for Japanese End-to-End Automatic Speech Recognition using Contextual Biasing", OTOGAKU Symposium, June 2024.
    BibTeX TR2024-073 PDF
    • @inproceedings{Mitsui2024jun,
    • author = {Mitsui, Yoshiki and Aihara, Ryo and Hori, Takaaki and Le Roux, Jonathan and Taguchi, Shinya}},
    • title = {Exploring Keyword Enrollment for Japanese End-to-End Automatic Speech Recognition using Contextual Biasing},
    • booktitle = {OTOGAKU Symposium},
    • year = 2024,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2024-073}
    • }
  •  He, Y., Cherian, A., Wichern, G., Markham, A., "Deep Neural Room Acoustics Primitive", International Conference on Machine Learning (ICML), June 2024.
    BibTeX TR2024-072 PDF
    • @inproceedings{He2024jun,
    • author = {He, Yuhang and Cherian, Anoop and Wichern, Gordon and Markham, Andrew}},
    • title = {Deep Neural Room Acoustics Primitive},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2024,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2024-072}
    • }
  •  Wang, B., Sakamoto, Y., "Data-efficient Machine Learning Methods for Electric Motor Surrogate Models", Biennial IEEE Conference on Electromagnetic Field Computation (CEFC), June 2024.
    BibTeX TR2024-064 PDF
    • @inproceedings{Wang2024jun2,
    • author = {Wang, Bingnan and Sakamoto, Yusuke}},
    • title = {Data-efficient Machine Learning Methods for Electric Motor Surrogate Models},
    • booktitle = {Biennial IEEE Conference on Electromagnetic Field Computation (CEFC)},
    • year = 2024,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2024-064}
    • }
  •  Singh, A., Jones, M.J., Learned-Miller, E., "Tracklet-based Explainable Video Anomaly Localization", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, May 2024.
    BibTeX TR2024-057 PDF
    • @inproceedings{Singh2024may,
    • author = {Singh, Ashish and Jones, Michael J. and Learned-Miller, Erik}},
    • title = {Tracklet-based Explainable Video Anomaly Localization},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
    • year = 2024,
    • month = may,
    • url = {https://www.merl.com/publications/TR2024-057}
    • }
  •  Ota, K., Jha, D.K., Kanezaki, A., "A Framework for Training Larger Networks for Deep Reinforcement Learning", Machine Learning Journal, May 2024.
    BibTeX TR2024-058 PDF
    • @article{Ota2024may3,
    • author = {Ota, Kei and Jha, Devesh K. and Kanezaki, Asako}},
    • title = {A Framework for Training Larger Networks for Deep Reinforcement Learning},
    • journal = {Machine Learning Journal},
    • year = 2024,
    • month = may,
    • url = {https://www.merl.com/publications/TR2024-058}
    • }
  •  Reiter, R., Quirynen, R., Diehl, M., Di Cairano, S., "Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning", IEEE Transactions on Control Systems Technology, May 2024.
    BibTeX TR2024-056 PDF
    • @article{Reiter2024may2,
    • author = {Reiter, Rudolf and Quirynen, Rien and Diehl, Moritz and Di Cairano, Stefano}},
    • title = {Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning},
    • journal = {IEEE Transactions on Control Systems Technology},
    • year = 2024,
    • month = may,
    • url = {https://www.merl.com/publications/TR2024-056}
    • }
  •  Queeney, J., Ozcan, E.C., Paschalidis, I.C., Cassandras, C.G., "Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees", Transactions on Machine Learning Research (TMLR), April 2024.
    BibTeX TR2024-037 PDF
    • @article{Queeney2024apr,
    • author = {Queeney, James and Ozcan, Erhan Can and Paschalidis, Ioannis Ch. and Cassandras, Christos G.},
    • title = {Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees},
    • journal = {Transactions on Machine Learning Research (TMLR)},
    • year = 2024,
    • month = apr,
    • issn = {2835-8856},
    • url = {https://www.merl.com/publications/TR2024-037}
    • }
  •  Queeney, J., Benosman, M., "Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning", Advances in Neural Information Processing Systems (NeurIPS), A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine, Eds., December 2023, pp. 1659-1680.
    BibTeX TR2023-143 PDF
    • @inproceedings{Queeney2023dec,
    • author = {Queeney, James and Benosman, Mouhacine},
    • title = {Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2023,
    • editor = {A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
    • pages = {1659--1680},
    • month = dec,
    • publisher = {Curran Associates, Inc.},
    • url = {https://www.merl.com/publications/TR2023-143}
    • }
  •  Xu, Y., Wang, B., Sakamoto, Y., Yamamoto, T., Nishimura, Y., Koike-Akino, T., Wang, Y., "Electric Machine Inverse Design with Variational Auto-Encoder (VAE)", IEEE Energy Conversion Congress and Exposition (ECCE), DOI: 10.1109/​ECCE53617.2023.10362903, October 2023.
    BibTeX TR2023-134 PDF
    • @inproceedings{Xu2023nov,
    • author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki and Koike-Akino, Toshiaki and Wang, Ye},
    • title = {Electric Machine Inverse Design with Variational Auto-Encoder (VAE)},
    • booktitle = {IEEE Energy Conversion Congress and Exposition (ECCE)},
    • year = 2023,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ECCE53617.2023.10362903},
    • issn = {2329-3748},
    • isbn = {979-8-3503-1644-5},
    • url = {https://www.merl.com/publications/TR2023-134}
    • }
  •  Germain, F., Wichern, G., Le Roux, J., "Hyperbolic Unsupervised Anomalous Sound Detection", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA58266.2023.10248092, September 2023.
    BibTeX TR2023-108 PDF Video Presentation
    • @inproceedings{Germain2023aug,
    • author = {Germain, Francois and Wichern, Gordon and Le Roux, Jonathan},
    • title = {Hyperbolic Unsupervised Anomalous Sound Detection},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2023,
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/WASPAA58266.2023.10248092},
    • issn = {1947-1629},
    • isbn = {979-8-3503-2372-6},
    • url = {https://www.merl.com/publications/TR2023-108}
    • }
  •  Wang, B., Zhang, S., Inoue, H., Kanemaru, M., "Semi-Supervised Machine Learning for Motor Eccentricity Fault Diagnosis", Asia Pacific Conference of the Prognostics and Health Management Society, DOI: 10.36001/​phmap.2023.v4i1.3644, September 2023.
    BibTeX TR2023-117 PDF
    • @inproceedings{Wang2023sep,
    • author = {Wang, Bingnan and Zhang, Shen and Inoue, Hiroshi and Kanemaru, Makoto},
    • title = {Semi-Supervised Machine Learning for Motor Eccentricity Fault Diagnosis},
    • booktitle = {Asia Pacific Conference of the Prognostics and Health Management Society},
    • year = 2023,
    • month = sep,
    • publisher = {PHM Society},
    • doi = {10.36001/phmap.2023.v4i1.3644},
    • url = {https://www.merl.com/publications/TR2023-117}
    • }
  •  Shenoy, V., Marks, T.K., Mansour, H., Lohit, S., "Unrolled IPPG: Video Heart Rate Esitmation via Unrolling Proximal Gradient Descent", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP49359.2023.10222169, September 2023, pp. 2715-2719.
    BibTeX TR2023-116 PDF Video
    • @inproceedings{Shenoy2023sep,
    • author = {Shenoy, Vineet and Marks, Tim K. and Mansour, Hassan and Lohit, Suhas},
    • title = {Unrolled IPPG: Video Heart Rate Esitmation via Unrolling Proximal Gradient Descent},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2023,
    • pages = {2715--2719},
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/ICIP49359.2023.10222169},
    • isbn = {978-1-7281-9835-4},
    • url = {https://www.merl.com/publications/TR2023-116}
    • }
  •  Petermann, D., Wichern, G., Subramanian, A.S., Wang, Z.-Q., Le Roux, J., "Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2023.3290428, Vol. 31, pp. 2592-2605, September 2023.
    BibTeX TR2023-113 PDF
    • @article{Petermann2023sep,
    • author = {Petermann, Darius and Wichern, Gordon and Subramanian, Aswin Shanmugam and Wang, Zhong-Qiu and Le Roux, Jonathan},
    • title = {Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks},
    • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    • year = 2023,
    • volume = 31,
    • pages = {2592--2605},
    • month = sep,
    • doi = {10.1109/TASLP.2023.3290428},
    • issn = {2329-9304},
    • url = {https://www.merl.com/publications/TR2023-113}
    • }
  •  Suda, T., Shimane, Y., Elango, P., Weiss, A., "DEEP REINFORCEMENT LEARNING FOR STATION KEEPING ON NEAR RECTILINEAR HALO ORBITS", AIAA/AAS Astrodynamics Specialist Conference, August 2023.
    BibTeX TR2023-098 PDF
    • @inproceedings{Suda2023aug,
    • author = {Suda, Takumi and Shimane, Yuri and Elango, Purnanand and Weiss, Avishai},
    • title = {DEEP REINFORCEMENT LEARNING FOR STATION KEEPING ON NEAR RECTILINEAR HALO ORBITS},
    • booktitle = {AIAA/AAS Astrodynamics Specialist Conference},
    • year = 2023,
    • month = aug,
    • url = {https://www.merl.com/publications/TR2023-098}
    • }
  •  Ahmed, M.R., Koike-Akino, T., Parsons, K., Wang, Y., "AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs", International Midwest Symposium on Circuits and Systems (MWSCAS), DOI: 10.1109/​MWSCAS57524.2023.10405914, August 2023.
    BibTeX TR2023-097 PDF
    • @inproceedings{Ahmed2023aug2,
    • author = {Ahmed, Md Rubel and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
    • title = {AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs},
    • booktitle = {International Midwest Symposium on Circuits and Systems (MWSCAS)},
    • year = 2023,
    • month = aug,
    • publisher = {IEEE},
    • doi = {10.1109/MWSCAS57524.2023.10405914},
    • issn = {1558-3899},
    • isbn = {979-8-3503-0210-3},
    • url = {https://www.merl.com/publications/TR2023-097}
    • }
  •  Zhang, J., Nikovski, D., Kojima, T., "3T-Net: Transformer Encoders for Destination Prediction", The Chinese Control Conference, DOI: 10.23919/​CCC58697.2023.10240616, July 2023.
    BibTeX TR2023-094 PDF Presentation
    • @inproceedings{Zhang2023jul3,
    • author = {Zhang, Jing and Nikovski, Daniel and Kojima, Takuro},
    • title = {3T-Net: Transformer Encoders for Destination Prediction},
    • booktitle = {The Chinese Control Conference},
    • year = 2023,
    • month = jul,
    • doi = {10.23919/CCC58697.2023.10240616},
    • url = {https://www.merl.com/publications/TR2023-094}
    • }
  •  Chakrabarty, A., Wichern, G., Laughman, C.R., "Meta-Learning of Neural State-Space Models Using Data From Similar Systems", World Congress of the International Federation of Automatic Control (IFAC), DOI: 10.1016/​j.ifacol.2023.10.1843, July 2023.
    BibTeX TR2023-087 PDF
    • @inproceedings{Chakrabarty2023jul,
    • author = {Chakrabarty, Ankush and Wichern, Gordon and Laughman, Christopher R.},
    • title = {Meta-Learning of Neural State-Space Models Using Data From Similar Systems},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2023,
    • month = jul,
    • doi = {10.1016/j.ifacol.2023.10.1843},
    • url = {https://www.merl.com/publications/TR2023-087}
    • }
  •  Salatiello, A., Wang, Y., Wichern, G., Koike-Akino, T., Yoshihiro, O., Kaneko, Y., Laughman, C.R., Chakrabarty, A., "Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?", ACM e-Energy Conference, DOI: 10.1145/​3599733.3600260, June 2023.
    BibTeX TR2023-072 PDF
    • @inproceedings{Salatiello2023jun,
    • author = {Salatiello, Alessandro and Wang, Ye and Wichern, Gordon and Koike-Akino, Toshiaki and Yoshihiro, Ohta and Kaneko, Yosuke and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?},
    • booktitle = {ACM e-Energy Conference},
    • year = 2023,
    • month = jun,
    • doi = {10.1145/3599733.3600260},
    • url = {https://www.merl.com/publications/TR2023-072}
    • }
  •  Singh, A., Jones, M.J., Learned-Miller, E., "EVAL: Explainable Video Anomaly Localization", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/​CVPR52729.2023.01795, June 2023.
    BibTeX TR2023-071 PDF Video Presentation
    • @inproceedings{Singh2023jun,
    • author = {Singh, Ashish and Jones, Michael J. and Learned-Miller, Erik},
    • title = {EVAL: Explainable Video Anomaly Localization},
    • booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2023,
    • month = jun,
    • doi = {10.1109/CVPR52729.2023.01795},
    • url = {https://www.merl.com/publications/TR2023-071}
    • }
  •  Jha, D.K., Jain, S., Romeres, D., Yerazunis, W.S., Nikovski, D., "Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control", European Control Conference (ECC), DOI: 10.23919/​ECC57647.2023.10178330, May 2023, pp. 1-8.
    BibTeX TR2023-065 PDF
    • @inproceedings{Jha2023may,
    • author = {Jha, Devesh K. and Jain, Siddarth and Romeres, Diego and Yerazunis, William S. and Nikovski, Daniel},
    • title = {Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control},
    • booktitle = {European Control Conference (ECC)},
    • year = 2023,
    • pages = {1--8},
    • month = may,
    • doi = {10.23919/ECC57647.2023.10178330},
    • url = {https://www.merl.com/publications/TR2023-065}
    • }
  •  Xu, Y., Wang, B., Sakamoto, Y., Yamamoto, T., Nishimura, Y., "Comparison of Learning-based Surrogate Models for Electric Motors", Conference on the Computation of Electromagnetic Fields (COMPUMAG), DOI: 10.1109/​COMPUMAG56388.2023.10411811, May 2023, pp. 1-4.
    BibTeX TR2023-042 PDF
    • @inproceedings{Xu2023may,
    • author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki},
    • title = {Comparison of Learning-based Surrogate Models for Electric Motors},
    • booktitle = {2023 24th International Conference on the Computation of Electromagnetic Fields (COMPUMAG)},
    • year = 2023,
    • pages = {1--4},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/COMPUMAG56388.2023.10411811},
    • url = {https://www.merl.com/publications/TR2023-042}
    • }
  •  Berk, A., Ma, Y., Boufounos, P.T., Wang, P., Mansour, H., "Deep Proximal Gradient Method for Learned Convex Regularizers", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10094632, May 2023, pp. 1-5.
    BibTeX TR2023-032 PDF Video
    • @inproceedings{Berk2023may,
    • author = {Berk, Aaron and Ma, Yanting and Boufounos, Petros T. and Wang, Pu and Mansour, Hassan},
    • title = {Deep Proximal Gradient Method for Learned Convex Regularizers},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • pages = {1--5},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10094632},
    • isbn = {978-1-7281-6327-7},
    • url = {https://www.merl.com/publications/TR2023-032}
    • }
  •  Zhao, Q., Ma, Y., Boufounos, P.T., Nabi, S., Mansour, H., "Deep Born Operator Learning for Reflection Tomographic Imaging", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10095494, May 2023, pp. 1-5.
    BibTeX TR2023-029 PDF Video
    • @inproceedings{Zhao2023may,
    • author = {Zhao, Qingqing and Ma, Yanting and Boufounos, Petros T. and Nabi, Saleh and Mansour, Hassan},
    • title = {Deep Born Operator Learning for Reflection Tomographic Imaging},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • pages = {1--5},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10095494},
    • url = {https://www.merl.com/publications/TR2023-029}
    • }
  •  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 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}
    • }
  •  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}
    • }