Publications

Found 624 results
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2016
Song, X., Rave W., & Fettweis G. (2016).  Analog and successive channel equalization in strong line-of-sight MIMO communication. 2016 IEEE International Conference on Communications (ICC). 1-7.
Song, X., Hälsig T., Rave W., Lankl B., & Fettweis G. (2016).  Analog equalization and low resolution quantization in strong line-of-sight MIMO communication. 2016 IEEE International Conference on Communications (ICC). 1-7.
Zaharia, M., Xin R. S., Wendell P., Das T., Armbrust M., Dave A., et al. (2016).  Apache Spark: a unified engine for big data processing. Communications of the ACM. 59(11), 56-65.
Eppe, M., Trott S., Raghuram V., Feldman J., & Janin A. (2016).  Application-Independent and Integration-Friendly Natural Language Understanding. Proceedings of Global Conference on Artificial Intelligence (GCAI 2016), EPiC Series in Computing.
Mahoney, M. W., Rao S., Wang D., & Zhang P. (2016).  Approximating the Solution to Mixed Packing and Covering LPs in parallel time.
Hendricks, L. Anne, Venugopalan S., Rohrbach M., Mooney R., Saenko K., & Darrell T. (2016).  Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1-10.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Deep compositional question answering with neural module networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
McCauley, M., Zhao M., Jackson E. J., Raghavan B., Ratnasamy S., & Shenker S. (2016).  The Deforestation of L2.
McCauley, M., Zhao M., Jackson E. J., Raghavan B., Ratnasamy S., & Shenker S. (2016).  The Deforestation of L2.
Fountoulakis, K., Chen X., Shun J., Roosta-Khorasani F., & Mahoney M. W. (2016).  Exploiting Optimization for Local Graph Clustering.
Chen, X., Roosta-Khorasani F., Bartlett P. L., & Mahoney M. W. (2016).  FLAG: Fast Linearly-Coupled Adaptive Gradient Method.
Chiang, H-L., Rave W., Kadur T., & Fettweis G. (2016).  Full rank spatial channel estimation at millimeter wave systems. 2016 International Symposium on Wireless Communication Systems (ISWCS). 42-48.
Ravuri, S., & Wegmann S. (2016).  How neural network depth compensates for HMM conditional independence assumptions in DNN-HMM acoustic models. Proceedings of Interspeech 2016.
Zou, Y., Zetterberg P., Gustavsson U., Svensson T., Zaidi A., Kadur T., et al. (2016).  Impact of Major RF Impairments on mm-Wave Communications Using OFDM Waveforms. 2016 IEEE Globecom Workshops (GC Wkshps). 1-7.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Learning to Compose Neural Networks for Question Answering. CoRR. abs/1601.01705,
Chiang, H-L., Kadur T., Rave W., & Fettweis G. (2016).  Low-complexity spatial channel estimation and hybrid beamforming for millimeter wave links. 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). 1-7.
Gittens, A., Devarakonda A., Racah E., Ringenburg M., Gerhardt L., Kottalam J., et al. (2016).  Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.
Gittens, A., Devarakonda A., Racah E., Ringenburg M., Gerhardt L., Kottalam J., et al. (2016).  Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.
Fukui, A., Park D. Huk, Yang D., Rohrbach A., Darrell T., & Rohrbach M. (2016).  Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. CoRR. abs/1606.01847,
Fukui, A., Park D. Huk, Yang D., Rohrbach A., Darrell T., & Rohrbach M. (2016).  Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. CoRR. abs/1606.01847,
Richter, P., Wohlfart F., Vallina-Rodriguez N., Allman M., Bush R., Feldmann A., et al. (2016).  A Multi-perspective Analysis of Carrier-Grade NAT Deployment. Proceedings of ACM Internet Measurement Conference.
Gittens, A., Kottalam J., Yang J., Ringenburg M. F., Chhugani J., Racah E., et al. (2016).  A multi-platform evaluation of the randomized CX low-rank matrix factorization in Spark. Proceedings of the 5th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics.

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