Internship at MERL

MERL's internship program gives students excellent opportunities to work in an industrial research lab environment side-by-side with world-class researchers.



Program Overview

The internship program at MERL emphasizes close collaboration with a particular researcher or members of a small team. Primary areas of work include:

  1. Artificial Intelligence including:
    1. Machine Learning
    2. Computer Vision
    3. Speech Recognition
    4. Acoustic Analysis
    5. Data Analytics
  2. Cyber-Physical Systems including:
    1. Signal Processing
    2. Digital & Optical Communications
    3. Multi-Physical Modeling
    4. Planning, Optimization & Control
    5. Dynamical Systems
  3. Design of Algorithms and Semiconductor Devices

The primary intent of MERL's internship program is to provide interns with experiences that help them enhance and accelerate their professional career, while contributing to new or ongoing initiatives at MERL. Interns are exposed to relevant industrial problems ranging from speculative and exploratory research to more practical engineering tasks. Interns have a chance to become familiar with the open research culture at MERL, produce publishable work, and develop an appreciation for how breakthrough research makes an impact on future products.

MERL considers graduate students from all over the world. As many of our projects benefit from specialized knowledge in a given field, graduate students pursuing a Ph.D. typically fill the majority of internship openings.

Set Your Own Path - Internships at MERL

The duration of a typical internship varies from 3 months to 1 year, with the majority of interns being employed during the summer months. As the summer is a very busy time, we encourage applications for non-summer internships and also prefer early applications for summer internships. Hiring decisions for the summer are typically made around January/February to allow enough time for any necessary paperwork (such as visa applications or other work eligibility forms) to be completed.

Boston is a fantastic city with one of the largest student populations of any city in the US. There are many social and leisure activities to get involved in, and no shortage of things to do during your stay. With close proximity to major universities such as MIT and Harvard, there are also many chances to attend seminars and lectures by well-known experts in various fields. During the summer, MERL organizes a number of social activities for interns. Some past activities included BBQ outings, whale watching and movie nights.

The key benefits of interning at MERL:

  1. Experience: At MERL, you work closely with top researchers and participate in a lab-wide R&D culture with a unique mix of curiosity-driven research and market-oriented prototyping.
  2. Publication: MERL is an open research lab with a strong tradition of publication in high-impact peer-reviewed venues. Internships typically aim at producing publication-worthy results and interns are co-authors on many papers each year.
  3. Compensation: MERL offers competitive salaries based on relevant education, skills, and work experience.
  4. Perks: MERL provides relocation assistance including travel costs; subsidies for commuting costs; and entertainment events for interns to get to know Boston and each other.
  5. Networking: Interns are encouraged to network with MERL's research staff, fellow interns, and faculty at local universities. Weekly socials and seminars provide many venues.
  6. Opportunity: Many MERL interns have gone on to distinguished careers at MERL. MERL research hosts have often provided letters of reference supporting their ex-interns' candidacies for jobs, fellowships, and tenure.
View Internship Openings
  • Recent Publications with MERL Interns

    Publications are an important output of MERL's research, and internships often lead to one or more publications. Below is a sample listing of some recent publications that include interns as co-authors. Please visit our publications page for a complete listing of MERL papers.

    •  Romeres, D., Dalla Libera, A., Jha, D., Yerazunis, W.S., Nikovski, D.N., "Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements", Robotics and Automation Letters, DOI: 10.1109/LRA.2020.2977255, Vol. 5, No. 2, pp. 3548 - 3555, May 2020.
      BibTeX TR2020-063 PDF
      • @article{Romeres2020may,
      • author = {Romeres, Diego and Dalla Libera, Alberto and Jha, Devesh and Yerazunis, William S. and Nikovski, Daniel N.},
      • title = {Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements},
      • journal = {Robotics and Automation Letters},
      • year = 2020,
      • volume = 5,
      • number = 2,
      • pages = {3548 -- 3555},
      • month = may,
      • doi = {10.1109/LRA.2020.2977255},
      • issn = {2377-3766},
      • url = {https://www.merl.com/publications/TR2020-063}
      • }
    •  Jha, D., Kolaric, P., Raghunathan, A., Lewis, F., Benosman, M., Romeres, D., Nikovski, D.N., "Local Policy Optimization for Trajectory-Centric Reinforcement Learning", IEEE International Conference on Robotics and Automation (ICRA), Ayanna Howard, Eds., , May 2020, pp. 5094-5100.
      BibTeX TR2020-062 PDF
      • @inproceedings{Jha2020may,
      • author = {Jha, Devesh and Kolaric, Patrik and Raghunathan, Arvind and Lewis, Frank and Benosman, Mouhacine and Romeres, Diego and Nikovski, Daniel N.},
      • title = {Local Policy Optimization for Trajectory-Centric Reinforcement Learning},
      • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
      • year = 2020,
      • editor = {Ayanna Howard},
      • pages = {5094--5100},
      • month = may,
      • publisher = {IEEE},
      • isbn = {978-1-7281-7395-5},
      • url = {https://www.merl.com/publications/TR2020-062}
      • }
    •  Onol, A.O., Corcodel, R., Long, P., Padir, T., "Tuning-Free Contact-Implicit Trajectory Optimization", IEEE International Conference on Robotics and Automation (ICRA), May 2020.
      BibTeX TR2020-065 PDF
      • @inproceedings{Onol2020may,
      • author = {Onol, Aykut O. and Corcodel, Radu and Long, Philip and Padir, Taskin},
      • title = {Tuning-Free Contact-Implicit Trajectory Optimization},
      • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-065}
      • }
    •  Chen, S., Liu, B., Feng, C., Vallespi-Gonzalez, C., Wellington, C., "3D Point Cloud Processing and Learning for Autonomous Driving", IEEE Signal Processing Magazine, May 2020.
      BibTeX TR2020-066 PDF
      • @article{Chen2020may2,
      • author = {Chen, Siheng and Liu, Baoan and Feng, Chen and Vallespi-Gonzalez, Carlos and Wellington, Carl},
      • title = {3D Point Cloud Processing and Learning for Autonomous Driving},
      • journal = {IEEE Signal Processing Magazine},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-066}
      • }
    •  Chen, S., Zhang, N., Sun, H., "Collaborative Localization Based on Traffic Landmarks for Autonomous Driving", IEEE International Symposium on Circuits and Systems (ISCAS), May 2020.
      BibTeX TR2020-064 PDF
      • @inproceedings{Chen2020may,
      • author = {Chen, Siheng and Zhang, Ningxiao and Sun, Huifang},
      • title = {Collaborative Localization Based on Traffic Landmarks for Autonomous Driving},
      • booktitle = {IEEE International Symposium on Circuits and Systems (ISCAS)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-064}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "Overhead Reduction in Graph-Based Point Cloud Delivery", IEEE International Conference on Communications (ICC), May 2020.
      BibTeX TR2020-061 PDF Video
      • @inproceedings{Fujihashi2020may2,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {Overhead Reduction in Graph-Based Point Cloud Delivery},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-061}
      • }
    •  Kadu, A., Mansour, H., Boufounos, P.T., "High-Contrast Limited-Angle Reflection Tomography", arXiv, May 2020.
      BibTeX arXiv
      • @article{Kadu2020may,
      • author = {Kadu, Ajinkya and Mansour, Hassan and Boufounos, Petros T.},
      • title = {High-Contrast Limited-Angle Reflection Tomography},
      • journal = {arXiv},
      • year = 2020,
      • month = may,
      • url = {http://arxiv.org/abs/2005.02903}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "High-Quality Soft Image Delivery with Deep Image Denoising", IEEE International Conference on Communications (ICC), May 2020.
      BibTeX TR2020-060 PDF Video
      • @inproceedings{Fujihashi2020may,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {High-Quality Soft Image Delivery with Deep Image Denoising},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-060}
      • }
    •  Zhang, S., Wang, B., Kanemaru, M., Lin, C., Liu, D., Habetler, T., "Model-Based Analysis and Quantification of Bearing Faults in Induction Machines", IEEE Transactions on Industry Applications, May 2020.
      BibTeX TR2020-059 PDF
      • @article{Zhang2020may,
      • author = {Zhang, Shen and Wang, Bingnan and Kanemaru, Makoto and Lin, Chungwei and Liu, Dehong and Habetler, Thomas},
      • title = {Model-Based Analysis and Quantification of Bearing Faults in Induction Machines},
      • journal = {IEEE Transactions on Industry Applications},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-059}
      • }
    •  Bhamidipati, S., Kim, K.J., Sun, H., Orlik, P.V., "Artificial Intelligence-Based Distributed Belief Propagation and Recurrent Neural Network Algorithm for Wide-Area Monitoring Systems", IEEE Network, May 2020.
      BibTeX TR2020-058 PDF
      • @article{Bhamidipati2020may,
      • author = {Bhamidipati, Sriramya and Kim, Kyeong Jin and Sun, Hongbo and Orlik, Philip V.},
      • title = {Artificial Intelligence-Based Distributed Belief Propagation and Recurrent Neural Network Algorithm for Wide-Area Monitoring Systems},
      • journal = {IEEE Network},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-058}
      • }
    •  Ioannidis, V., Chen, S., Giannakis, G., "Pruned Graph Scattering Transforms", International Conference on Learning Representations (ICLR), April 2020.
      BibTeX TR2020-055 PDF
      • @inproceedings{Ioannidis2020apr,
      • author = {Ioannidis, Vassilis and Chen, Siheng and Giannakis, Georgios},
      • title = {Pruned Graph Scattering Transforms},
      • booktitle = {International Conference on Learning Representations (ICLR)},
      • year = 2020,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2020-055}
      • }
    •  Fehenberger, T., Millar, D.S., Koike-Akino, T., Kojima, K., Parsons, K., Griesser, H., "Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables", IEEE Journal of Lightwave Technology, DOI: 10.1109/JLT.2020.2987210, Vol. 38, No. 10, pp. 2825 - 2833, April 2020.
      BibTeX TR2020-051 PDF
      • @article{Fehenberger2020apr2,
      • author = {Fehenberger, Tobias and Millar, David S. and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran and Griesser, Helmut},
      • title = {Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables},
      • journal = {IEEE Journal of Lightwave Technology},
      • year = 2020,
      • volume = 38,
      • number = 10,
      • pages = {2825 -- 2833},
      • month = apr,
      • doi = {10.1109/JLT.2020.2987210},
      • issn = {1558-2213},
      • url = {https://www.merl.com/publications/TR2020-051}
      • }
    •  Han, M., Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Disentangled Adversarial Transfer Learning for Physiological Biosignals", arXiv, April 2020.
      BibTeX arXiv
      • @article{Han2020apr,
      • author = {Han, Mo and Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
      • title = {Disentangled Adversarial Transfer Learning for Physiological Biosignals},
      • journal = {arXiv},
      • year = 2020,
      • month = apr,
      • url = {http://arxiv.org/abs/2004.08289}
      • }
    •  Ramachandra, B., Jones, M.J., Vatsavai, R., "A Survey of Single-Scene Video Anomaly Detection", arXiv, April 2020.
      BibTeX arXiv
      • @article{Ramachandra2020apr,
      • author = {Ramachandra, Bharathkumar and Jones, Michael J. and Vatsavai, Ranga},
      • title = {A Survey of Single-Scene Video Anomaly Detection},
      • journal = {arXiv},
      • year = 2020,
      • month = apr,
      • url = {https://arxiv.org/abs/2004.05993}
      • }
    •  Maciejewski, M., Wichern, G., McQuinn, E., Le Roux, J., "WHAMR!: Noisy and Reverberant Single-Channel Speech Separation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9053327, April 2020, pp. 696-700.
      BibTeX TR2020-042 PDF Video
      • @inproceedings{Maciejewski2020apr,
      • author = {Maciejewski, Matthew and Wichern, Gordon and McQuinn, Emmett and Le Roux, Jonathan},
      • title = {WHAMR!: Noisy and Reverberant Single-Channel Speech Separation},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {696--700},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9053327},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-042}
      • }
    •  Pishdadian, F., Wichern, G., Le Roux, J., "Learning to Separate Sounds From Weakly Labeled Scenes", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9053055, April 2020, pp. 91-95.
      BibTeX TR2020-038 PDF Video
      • @inproceedings{Pishdadian2020apr,
      • author = {Pishdadian, Fatemeh and Wichern, Gordon and Le Roux, Jonathan},
      • title = {Learning to Separate Sounds From Weakly Labeled Scenes},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {91--95},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9053055},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-038}
      • }
    •  Sari, L., Moritz, N., Hori, T., Le Roux, J., "Unsupervised Speaker Adaptation Using Attention-Based Speaker Memory For End-To-End ASR", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9054249, April 2020, pp. 7384-7388.
      BibTeX TR2020-037 PDF Video
      • @inproceedings{Sari2020apr,
      • author = {Sari, Leda and Moritz, Niko and Hori, Takaaki and Le Roux, Jonathan},
      • title = {Unsupervised Speaker Adaptation Using Attention-Based Speaker Memory For End-To-End ASR},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {7384--7388},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9054249},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-037}
      • }
    •  Xia, Y., Wang, P., Berntorp, K., Koike-Akino, T., Mansour, H., Pajovic, M., Boufounos, P.T., Orlik, P.V., "Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9054614, April 2020, pp. 4900-4904.
      BibTeX TR2020-044 PDF Video
      • @inproceedings{Xia2020apr,
      • author = {Xia, Yuxuan and Wang, Pu and Berntorp, Karl and Koike-Akino, Toshiaki and Mansour, Hassan and Pajovic, Milutin and Boufounos, Petros T. and Orlik, Philip V.},
      • title = {Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {4900--4904},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9054614},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-044}
      • }
    •  Xie, Y., Liu, D., Mansour, H., Boufounos, P.T., "Robust Parameter Estimation of Contaminated Damped Exponentials", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9053507, April 2020, pp. 5500-5504.
      BibTeX TR2020-052 PDF Video
      • @inproceedings{Xie2020apr,
      • author = {Xie, Youye and Liu, Dehong and Mansour, Hassan and Boufounos, Petros T.},
      • title = {Robust Parameter Estimation of Contaminated Damped Exponentials},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {5500--5504},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9053507},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-052}
      • }
    •  Ma, Y., Lodhi, M.A., Mansour, H., Boufounos, P.T., Liu, D., "Inverse Multiple Scattering With Phaseless Measurements", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9053430, April 2020, pp. 1519-1523.
      BibTeX TR2020-041 PDF Video
      • @inproceedings{Ma2020apr,
      • author = {Ma, Yanting and Lodhi, Muhammad Asad and Mansour, Hassan and Boufounos, Petros T. and Liu, Dehong},
      • title = {Inverse Multiple Scattering With Phaseless Measurements},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {1519--1523},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9053430},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-041}
      • }
    •  Al-Shabili, A., Mansour, H., Boufounos, P.T., "Learning Plug-and-Play Proximal Quasi-Newton Denoisers", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9054537, April 2020, pp. 8896-8900.
      BibTeX TR2020-045 PDF Video
      • @inproceedings{Al-Shabili2020apr,
      • author = {Al-Shabili, Abdullah and Mansour, Hassan and Boufounos, Petros T.},
      • title = {Learning Plug-and-Play Proximal Quasi-Newton Denoisers},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {8896--8900},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9054537},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-045}
      • }
    •  Yu, L., Liu, D., Mansour, H., Boufounos, P.T., Ma, Y., "Blind Multi-Spectral Image Pan-Sharpening", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9053554, April 2020, pp. 1429-1433.
      BibTeX TR2020-047 PDF Video
      • @inproceedings{Yu2020apr,
      • author = {Yu, Lantao and Liu, Dehong and Mansour, Hassan and Boufounos, Petros T. and Ma, Yanting},
      • title = {Blind Multi-Spectral Image Pan-Sharpening},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {1429--1433},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9053554},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-047}
      • }
    •  Kumar, A., Marks, T., Mou, W., Wang, Y., Cherian, A., Jones, M.J., Liu, X., Koike-Akino, T., Feng, C., "LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood", arXiv, April 2020.
      BibTeX arXiv
      • @article{Kumar2020apr,
      • author = {Kumar, Abhinav and Marks, Tim and Mou, Wenxuan and Wang, Ye and Cherian, Anoop and Jones, Michael J. and Liu, Xiaoming and Koike-Akino, Toshiaki and Feng, Chen},
      • title = {LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood},
      • journal = {arXiv},
      • year = 2020,
      • month = apr,
      • url = {https://arxiv.org/abs/2004.02980}
      • }
    •  Kojima, K., TaherSima, M., Koike-Akino, T., Jha, D., Tang, Y., Parsons, K., Sang, F., Klamkin, J., "Deep Neural Networks for Designing Integrated Photonics", Optical Fiber Communication Conference and Exposition (OFC), DOI: https://doi.org/10.1364/OFC.2020.Th1A.6, March 2020.
      BibTeX TR2020-057 PDF
      • @inproceedings{Kojima2020mar,
      • author = {Kojima, Keisuke and TaherSima, Mohammad and Koike-Akino, Toshiaki and Jha, Devesh and Tang, Yingheng and Parsons, Kieran and Sang, Fengqiao and Klamkin, Jonathan},
      • title = {Deep Neural Networks for Designing Integrated Photonics},
      • booktitle = {Optical Fiber Communication Conference and Exposition (OFC)},
      • year = 2020,
      • month = mar,
      • publisher = {OSA},
      • doi = {https://doi.org/10.1364/OFC.2020.Th1A.6},
      • isbn = {978-1-943580-71-2},
      • url = {https://www.merl.com/publications/TR2020-057}
      • }
    •  Cherian, A., Wang, J., Hori, C., Marks, T., "Spatio-Temporal Ranked-Attention Networks for Video Captioning", IEEE Winter Conference on Applications of Computer Vision (WACV), February 2020.
      BibTeX TR2020-016 PDF
      • @inproceedings{Cherian2020feb,
      • author = {Cherian, Anoop and Wang, Jue and Hori, Chiori and Marks, Tim},
      • title = {Spatio-Temporal Ranked-Attention Networks for Video Captioning},
      • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
      • year = 2020,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2020-016}
      • }
    •  Romero, O., Benosman, M., "Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions", Advances in Neural Information Processing Systems (NeurIPS) - Workshop, January 2020.
      BibTeX TR2020-001 PDF
      • @inproceedings{Romero2020jan,
      • author = {Romero, Orlando and Benosman, Mouhacine},
      • title = {Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions},
      • booktitle = {Advances in Neural Information Processing Systems (NeurIPS) - Workshop},
      • year = 2020,
      • month = jan,
      • url = {https://www.merl.com/publications/TR2020-001}
      • }
    •  Jha, D., Kolaric, P., Romeres, D., Raghunathan, A., Benosman, M., Nikovski, D.N., "Robust Optimization for Trajectory-Centric Model-based Reinforcement Learning", NeurIPS Workshop on Safety and Robustness in Decision Making, December 2019.
      BibTeX TR2019-156 PDF
      • @inproceedings{Jha2019dec2,
      • author = {Jha, Devesh and Kolaric, Patrik and Romeres, Diego and Raghunathan, Arvind and Benosman, Mouhacine and Nikovski, Daniel N.},
      • title = {Robust Optimization for Trajectory-Centric Model-based Reinforcement Learning},
      • booktitle = {NeurIPS Workshop on Safety and Robustness in Decision Making},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-156}
      • }
    •  Menner, M., Berntorp, K., Di Cairano, S., "Inverse Learning for Human-Adaptive Motion Planning", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9030020, December 2019.
      BibTeX TR2019-146 PDF
      • @inproceedings{Menner2019dec,
      • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Inverse Learning for Human-Adaptive Motion Planning},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2019,
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9030020},
      • url = {https://www.merl.com/publications/TR2019-146}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "DNN-based Simultaneous Screen-to-Camera and Screen-to-Eye Communications", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/GLOBECOM38437.2019.9013967, December 2019.
      BibTeX TR2019-132 PDF
      • @inproceedings{Fujihashi2019dec,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {DNN-based Simultaneous Screen-to-Camera and Screen-to-Eye Communications},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • month = dec,
      • publisher = {IEEE},
      • doi = {10.1109/GLOBECOM38437.2019.9013967},
      • issn = {2576-6813},
      • isbn = {978-1-7281-0962-6},
      • url = {https://www.merl.com/publications/TR2019-132}
      • }
    •  Tanovic, O., Ma, R., Orlik, P.V., Megretski, A., "Optimal Power Encoding of OFDM Signals in All-Digital Transmitters", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/GLOBECOM38437.2019.9014289, December 2019, pp. 1-6.
      BibTeX TR2019-137 PDF
      • @inproceedings{Tanovic2019dec,
      • author = {Tanovic, Omer and Ma, Rui and Orlik, Philip V. and Megretski, Aleksandre},
      • title = {Optimal Power Encoding of OFDM Signals in All-Digital Transmitters},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • pages = {1--6},
      • month = dec,
      • publisher = {IEEE},
      • doi = {10.1109/GLOBECOM38437.2019.9014289},
      • issn = {2576-6813},
      • isbn = {978-1-7281-0962-6},
      • url = {https://www.merl.com/publications/TR2019-137}
      • }
    •  Jespersen, M.H., Pajovic, M., Koike-Akino, T., Wang, Y., Popovski, P., Orlik, P.V., "Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/GLOBECOM38437.2019.9013510, December 2019.
      BibTeX TR2019-140 PDF
      • @inproceedings{Jespersen2019dec,
      • author = {Jespersen, Mads Helge and Pajovic, Milutin and Koike-Akino, Toshiaki and Wang, Ye and Popovski, Petar and Orlik, Philip V.},
      • title = {Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • month = dec,
      • publisher = {IEEE},
      • doi = {10.1109/GLOBECOM38437.2019.9013510},
      • issn = {2576-6813},
      • isbn = {978-1-7281-0962-6},
      • url = {https://www.merl.com/publications/TR2019-140}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "DNN-based Overhead Reduction for High-Quality Soft Delivery", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/GLOBECOM38437.2019.9014124, December 2019.
      BibTeX TR2019-133 PDF
      • @inproceedings{Fujihashi2019dec2,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {DNN-based Overhead Reduction for High-Quality Soft Delivery},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • month = dec,
      • publisher = {IEEE},
      • doi = {10.1109/GLOBECOM38437.2019.9014124},
      • issn = {2576-6813},
      • isbn = {978-1-7281-0962-6},
      • url = {https://www.merl.com/publications/TR2019-133}
      • }
    •  Liu, B., Wei, Z., Yuan, J., Pajovic, M., "Deep Learning Assisted User Identification in Massive Machine-Type Communications", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/GLOBECOM38437.2019.9014177, December 2019, pp. 1-6.
      BibTeX TR2019-134 PDF
      • @inproceedings{Liu2019dec,
      • author = {Liu, Bryan and Wei, Zhiqiang and Yuan, Jinhong and Pajovic, Milutin},
      • title = {Deep Learning Assisted User Identification in Massive Machine-Type Communications},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • pages = {1--6},
      • month = dec,
      • doi = {10.1109/GLOBECOM38437.2019.9014177},
      • url = {https://www.merl.com/publications/TR2019-134}
      • }
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