Publications

280 / 3,904 publications found.


  •  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., Vinod, A.P., Mansour, H., Bortoff, S.A., Laughman, C.R., "Moving Horizon Estimation for Digital Twins using Deep Autoencoders", World Congress of the International Federation of Automatic Control (IFAC), Ishii, H. and Ebihara, Y. and Imura, J. and Yamakita, M., Eds., DOI: 10.1016/​j.ifacol.2023.10.207, July 2023, pp. 5500-5505.
    BibTeX TR2023-088 PDF
    • @inproceedings{Chakrabarty2023jul2,
    • author = {Chakrabarty, Ankush and Vinod, Abraham P. and Mansour, Hassan and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {{Moving Horizon Estimation for Digital Twins using Deep Autoencoders}},
    • booktitle = {World Congress of the International Federation of Automatic Control (IFAC)},
    • year = 2023,
    • editor = {Ishii, H. and Ebihara, Y. and Imura, J. and Yamakita, M.},
    • pages = {5500--5505},
    • month = jul,
    • publisher = {Elseiver},
    • doi = {10.1016/j.ifacol.2023.10.207},
    • url = {https://www.merl.com/publications/TR2023-088}
    • }
  •  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 Software
    • @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}
    • }
  •  Ota, K., Jha, D.K., Tung, H.-Y., Tenenbaum, J.B., "Tactile-Filter: Interactive Tactile Perception for Part Mating", Robotics: Science and Systems (RSS), DOI: 10.15607/​RSS.2023.XIX.079, June 2023.
    BibTeX TR2023-077 PDF Video
    • @inproceedings{Ota2023jun,
    • author = {Ota, Kei and Jha, Devesh K. and Tung, Hsiao-Yu and Tenenbaum, Joshua B.},
    • title = {{Tactile-Filter: Interactive Tactile Perception for Part Mating}},
    • booktitle = {Robotics: Science and Systems (RSS)},
    • year = 2023,
    • month = jun,
    • doi = {10.15607/RSS.2023.XIX.079},
    • url = {https://www.merl.com/publications/TR2023-077}
    • }
  •  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 Software 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}
    • }
  •  Bralios, D., Tzinis, E., Wichern, G., Smaragdis, P., Le Roux, J., "Latent Iterative Refinement for Modular Source Separation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10096897, May 2023, pp. 1-5.
    BibTeX TR2023-019 PDF
    • @inproceedings{Bralios2023may,
    • author = {Bralios, Dimitrios and Tzinis, Efthymios and Wichern, Gordon and Smaragdis, Paris and {Le Roux}, Jonathan},
    • title = {{Latent Iterative Refinement for Modular Source Separation}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • pages = {1--5},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10096897},
    • url = {https://www.merl.com/publications/TR2023-019}
    • }
  •  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}
    • }
  •  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 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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Shimoya, R., Morimoto, T., van Baar, J., Boufounos, P.T., Ma, Y., Mansour, H., "Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), DOI: 10.1109/​AVSS56176.2022.9959354, November 2022, pp. 1-8.
    BibTeX TR2022-149 PDF
    • @inproceedings{Shimoya2022nov,
    • author = {Shimoya, Ryosuke and Morimoto, Tahashi and {van Baar}, Jeroen and Boufounos, Petros T. and Ma, Yanting and Mansour, Hassan},
    • title = {{Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images}},
    • booktitle = {IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
    • year = 2022,
    • pages = {1--8},
    • month = nov,
    • doi = {10.1109/AVSS56176.2022.9959354},
    • isbn = {978-1-6654-6382-9},
    • url = {https://www.merl.com/publications/TR2022-149}
    • }
  •  Chatterjee, M., Ahuja, N., Cherian, A., "Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation", Advances in Neural Information Processing Systems (NeurIPS), November 2022.
    BibTeX TR2022-140 PDF Presentation
    • @inproceedings{Chatterjee2022nov,
    • author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
    • title = {{Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2022,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2022-140}
    • }
  •  Ahmed, S.M., Lohit, S., Peng, K.-C., Jones, M.J., Roy Chowdhury, A.K., "Cross-Modal Knowledge Transfer Without Task-Relevant Source Data", European Conference on Computer Vision (ECCV), Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T., Eds., DOI: 10.1007/​978-3-031-19830-4_7, October 2022, pp. 111-127.
    BibTeX TR2022-135 PDF Video Software Presentation
    • @inproceedings{Ahmed2022oct,
    • author = {Ahmed, Sk Miraj and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Roy Chowdhury, Amit K.},
    • title = {{Cross-Modal Knowledge Transfer Without Task-Relevant Source Data}},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2022,
    • editor = {Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T.},
    • pages = {111--127},
    • month = oct,
    • publisher = {Springer},
    • doi = {10.1007/978-3-031-19830-4_7},
    • isbn = {978-3-031-19830-4},
    • url = {https://www.merl.com/publications/TR2022-135}
    • }
  •  Mansour, H., Lohit, S., Boufounos, P.T., "Distributed Radar Autofocus Imaging Using Deep Priors", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP46576.2022.9897332, October 2022, pp. 2511-2515.
    BibTeX TR2022-129 PDF Video
    • @inproceedings{Mansour2022oct,
    • author = {Mansour, Hassan and Lohit, Suhas and Boufounos, Petros T.},
    • title = {{Distributed Radar Autofocus Imaging Using Deep Priors}},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2022,
    • pages = {2511--2515},
    • month = oct,
    • doi = {10.1109/ICIP46576.2022.9897332},
    • url = {https://www.merl.com/publications/TR2022-129}
    • }