Courant Institute

Research output

Research output per year 1953 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023

• 7730 Article
• 2790 Conference contribution
• 530 Chapter (peer-reviewed)
• 344 Conference article
• 1415 More
  • 294 Paper
  • 207 Chapter
  • 170 Book
  • 167 Review article
  • 141 Other report
  • 135 Comment/debate
  • 115 Editorial
  • 37 Book/Film/Article review
  • 35 Other contribution
  • 31 Short survey
  • 25 Letter
  • 16 Other chapter contribution
  • 14 Entry for encyclopedia/dictionary
  • 10 Foreword/postscript
  • 7 Preprint
  • 4 Digital or Visual Products
  • 3 Special issue
  • 3 Working paper
  • 1 Commissioned report

Research output per year

Research output per year

Search results

• 2018

  A New Approach to Signal Processing of Spatiotemporal Data

  Slawinska, J., Ourmazd, A. & Giannakis, D., Aug 29 2018, 2018 IEEE Statistical Signal Processing Workshop, SSP 2018. Institute of Electrical and Electronics Engineers Inc., p. 453-457 5 p. 8450704. (2018 IEEE Statistical Signal Processing Workshop, SSP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • signal processing 100%
  • Dynamical systems 87%
  • Signal processing 86%
  • sea surface temperature 48%
  • Temperature 42%

• An improved dictatorship test with perfect completeness

  Bhangale, A., Khot, S. & Thiruvenkatachari, D., Jan 1 2018, 37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2017. Lokam, S. & Ramanujam, R. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 15. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 93).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Constraint satisfaction problems 100%
  • Boolean functions 95%
  • Hardness 61%

• A stable and effective learning strategy for trainable greedy decoding

  Chen, Y., Li, V. O. K., Cho, K. & Bowman, S. R., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 380-390 11 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning Strategies 100%
  • Beam Search 88%
  • Decoding 65%
  • Actors 41%
  • Corpus 40%

• Asymmetric Actor Critic for Image-Based Robot Learning

  Pinto, L., Andrychowicz, M., Welinder, P., Zaremba, W. & Abbeel, P., 2018, Robotics: Science and Systems XIV. Kress-Gazit, H., Srinivasa, S. S., Howard, T. & Atanasov, N. (eds.). MIT Press Journals, (Robotics: Science and Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Robot learning 100%
  • Reinforcement learning 68%
  • Simulators 49%
  • Physics 29%
  • Robotics 26%

• Attentional ShapeContextNet for Point Cloud Recognition

  Xie, S., Liu, S., Chen, Z. & Tu, Z., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 4606-4615 10 p. 8578582. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Convolutional neural networks 100%
  • Agglomeration 95%

• Automated local regression discontinuity design discovery

  Herlands, W., Wilson, A. G., McFowland, E. & Neill, D. B., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1512-1520 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Machine learning 100%

• Averaging weights leads to wider optima and better generalization

  Izmailov, P., Podoprikhin, D., Garipov, T., Vetrov, D. & Wilson, A. G., 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Silva, R., Globerson, A. & Globerson, A. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), p. 876-885 10 p. (34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep neural networks 100%
  • Trajectories 71%

• Base Station Diversity Propagation Measurements at 73 GHz Millimeter-Wave for 5G Coordinated Multipoint (CoMP) Analysis

  Maccartney, G. R., Rappaport, T. S. & Ghosh, A., Jan 24 2018, 2017 IEEE Globecom Workshops, GC Wkshps 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-7 7 p. (2017 IEEE Globecom Workshops, GC Wkshps 2017 - Proceedings; vol. 2018-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Millimeter waves 100%
  • Base stations 88%
  • Antennas 65%
  • Transmitters 42%
  • Steerable antennas 41%

• Breast density classification with deep convolutional neural networks

  Wu, N., Geras, K. J., Shen, Y., Su, J., Kim, S. G., Kim, E., Wolfson, S., Moy, L. & Cho, K., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6682-6686 5 p. 8462671. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep neural networks 100%
  • Screening 96%
  • Convolutional neural networks 93%
  • Learning algorithms 42%
  • Classifiers 36%

• Bridging the GAP: Towards approximate graph analytics

  Iyer, A. P., Panda, A., Venkataraman, S., Chowdhury, M., Akella, A., Shenker, S. & Stoica, I., Jun 10 2018, Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2018. Bhattacharya, A., Fletcher, G., Roy, S., Arora, A., Larriba Pey, J. L. & West, R. (eds.). Association for Computing Machinery, Inc, a10. (Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Graph algorithms 100%
  • Graph structures 98%
  • Big data 71%
  • Machine learning 58%

• CASSL: Curriculum Accelerated Self-Supervised Learning

  Murali, A., Pinto, L., Gandhi, D. & Gupta, A., Sep 10 2018, 2018 IEEE International Conference on Robotics and Automation, ICRA 2018. Institute of Electrical and Electronics Engineers Inc., p. 6453-6460 8 p. 8463147. (Proceedings - IEEE International Conference on Robotics and Automation).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Curricula 98%
  • Sampling 33%
  • Grippers 18%
  • Sensitivity analysis 13%

• CESSNA: Resilient edge-computing

  Harchol, Y., Mushtaq, A., McCauley, J., Panda, A. & Shenker, S., Aug 7 2018, MECOMM 2018 - Proceedings of the 2018 Workshop on Mobile Edge Communications, Part of SIGCOMM 2018. Association for Computing Machinery, Inc, p. 1-6 6 p. (MECOMM 2018 - Proceedings of the 2018 Workshop on Mobile Edge Communications, Part of SIGCOMM 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Edge computing 100%
  • Servers 58%
  • Internet of things 11%
  • Wireless networks 10%
  • Bandwidth 8%

• Code-Switched Named Entity Recognition with Embedding Attention

  Wang, C., Cho, K. & Kiela, D., 2018, ACL 2018 - Computational Approaches to Linguistic Code-Switching, Proceedings of the 3rd Workshop. Association for Computational Linguistics (ACL), p. 154-158 5 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Entity 100%
  • English-Spanish 87%
  • Egyptians 61%

• Comparing Dynamics: Deep Neural Networks versus Glassy Systems

  Baity-Jest, M., Sagun, L., Mario, G., Spiglery, S., Arous, G. B., Cammarota, C., Lecun, Y., Vvyart, M. & Biroli, G. J., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 526-535 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Dynamic Neural Networks 100%
  • Deep neural networks 57%
  • Training 31%
  • Similarity 25%
  • Energy Landscape 23%

• Comparing mixing times on sparse random graphs

  Ben-Hamou, A., Lubetzky, E. & Peres, Y., 2018, 29th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2018. Czumaj, A. (ed.). Association for Computing Machinery, p. 1734-1740 7 p. (Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Mixing Time 100%
  • Simple Random Walk 96%
  • Sparse Graphs 93%
  • Random Graphs 75%
  • Galton-Watson Tree 71%

• Composable planning with attributes

  Zhang, A., Lerer, A., Sukhbaatar, S., Fergus, R. & Szlam, A., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 9292-9307 16 p. (35th International Conference on Machine Learning, ICML 2018; vol. 13).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Attribute 93%
  • Planning 61%
  • Policy 56%
  • Training 41%
  • Stacking 26%

• Conditional word embedding and hypothesis testing via bayes-by-backprop

  Han, R., Spirling, A., Gill, M. & Cho, K., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 4890-4895 6 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Bayes 100%
  • Hypothesis Testing 93%
  • Covariates 52%
  • Metadata 51%
  • Testing 48%

• Constant-time predictive distributions for Gaussian processes

  Pleiss, G., Gardner, J. R., Weinberger, K. Q. & Wilson, A. G., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 6575-6584 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 9).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Lanczos 100%
  • Predictive Distribution 98%
  • Time Constant 89%
  • Covariance matrix 79%
  • Gaussian Process 76%

• Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans

  Marrouch, N., Read, H. L., Slawinska, J. & Giannakis, D., Oct 10 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8489475. (Proceedings of the International Joint Conference on Neural Networks; vol. 2018-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electroencephalography 100%
  • Decomposition 74%
  • Experiments 36%
  • Brain 28%
  • Dynamical systems 28%

• Decoupling simulation accuracy from mesh quality

  Schneider, T., Hu, Y., Dumas, J., Gao, X., Panozzo, D. & Zorin, D., Dec 4 2018, SIGGRAPH Asia 2018 Technical Papers, SIGGRAPH Asia 2018. Association for Computing Machinery, Inc, 280. (SIGGRAPH Asia 2018 Technical Papers, SIGGRAPH Asia 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Finite element method 100%
  • Mesh generation 49%
  • Tuning 31%
  • Pipelines 30%
  • Costs 15%

• Decoupling strategy and generation in negotiation dialogues

  He, H., Chen, D., Balakrishnan, A. & Liang, P., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 2333-2343 11 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Dialogue 100%
  • Decoupling 81%
  • Reinforcement learning 71%
  • Reinforcement Learning 53%
  • Strategy 50%

• Delete, retrieve, generate: A simple approach to sentiment and style transfer

  Li, J., Jia, R., He, H. & Liang, P., 2018, Long Papers. Association for Computational Linguistics (ACL), p. 1865-1874 10 p. (NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sentiment 100%
  • Content Words 37%
  • Captions 35%
  • Amazon 31%
  • Evaluation 14%

• Deterministic non-autoregressive neural sequence modeling by iterative refinement

  Lee, J., Mansimov, E. & Cho, K., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 1173-1182 10 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Iterative Refinement 100%
  • Modeling 44%
  • Machine Translation 40%
  • Latent Variable Models 29%
  • Denoising 29%

• Doing real work with FHE: The case of logistic regression

  Crawford, J. L. H., Gentry, C., Halevi, S., Platt, D. & Shoup, V., Oct 15 2018, WAHC 2018 - Proceedings of the 6th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, co-located with CCS 2018. Association for Computing Machinery, p. 1-12 12 p. (Proceedings of the ACM Conference on Computer and Communications Security).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Logistic regression 100%
  • Cryptography 73%
  • Sorting 21%

• Doubly-Efficient zkSNARKs Without Trusted Setup

  Wahby, R. S., Tzialla, I., Shelat, A., Thaler, J. & Walfish, M., Jul 23 2018, Proceedings - 2018 IEEE Symposium on Security and Privacy, SP 2018. Institute of Electrical and Electronics Engineers Inc., p. 926-943 18 p. 8418646. (Proceedings - IEEE Symposium on Security and Privacy; vol. 2018-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Communication 100%
  • Networks (circuits) 73%
  • Polynomials 51%
  • Costs 50%
  • Concretes 44%

• Dynamical systems evolving

  Young, L. S., 2018, Invited Lectures. Sirakov, B., de Souza, P. N. & Viana, M. (eds.). World Scientific Publishing Co. Pte Ltd, p. 1017-1048 32 p. (Proceedings of the International Congress of Mathematicians, ICM 2018; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computational Neuroscience 100%
  • Dynamical system 93%
  • Random Maps 88%
  • Chaotic Dynamical Systems 85%
  • Random Attractor 82%

• Dynamic meta-embeddings for improved sentence representations

  Kiela, D., Wang, C. & Cho, K., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 1466-1477 12 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Natural language processing systems 100%
  • Supervised Learning 58%
  • Ensemble 40%
  • Neural Networks 38%
  • Figure 38%

• Dynamics of distributed updating in fisher markets

  Cheung, Y. K., Cole, R. & Tao, Y., Jun 11 2018, ACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation. Association for Computing Machinery, Inc, p. 351-368 18 p. (ACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Updating 88%
  • Market 81%
  • Utility Function 63%
  • Buyers 62%
  • Rate of Convergence 61%

• Exploring the boundaries of topology-hiding computation

  Ball, M., Boyle, E., Malkin, T. & Moran, T., 2018, Advances in Cryptology - EUROCRYPT 2018 - 37th Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2018 Proceedings. Nielsen, J. B. & Rijmen, V. (eds.). Springer Verlag, p. 294-325 32 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10822 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Topology 100%
  • Leakage 52%
  • Hardware 37%
  • Broadcast 26%
  • Graph in graph theory 23%

• Exponentially slow mixing in the mean-field Swendsen-Wang dynamics

  Gheissari, R., Lubetzky, E. & Peres, Y., 2018, 29th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2018. Czumaj, A. (ed.). Association for Computing Machinery, p. 1981-1988 8 p. (Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Mean Field 100%
  • Potts model 59%
  • Mean-field Model 49%
  • Potts Model 45%
  • Markov Chain Monte Carlo 36%

• Faster homomorphic linear transformations in HElib

  Halevi, S. & Shoup, V., 2018, Advances in Cryptology – CRYPTO 2018 - 38th Annual International Cryptology Conference, 2018, Proceedings. Boldyreva, A. & Shacham, H. (eds.). Springer Verlag, p. 93-120 28 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10991 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Linear transformations 100%
  • Bootstrapping 92%
  • Homomorphic 86%
  • Linear transformation 81%
  • Speedup 55%

• Fast message franking: From invisible salamanders to encryptment

  Dodis, Y., Grubbs, P., Ristenpart, T. & Woodage, J., 2018, Advances in Cryptology – CRYPTO 2018 - 38th Annual International Cryptology Conference, 2018, Proceedings. Boldyreva, A. & Shacham, H. (eds.). Springer Verlag, p. 155-186 32 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10991 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Authenticated Encryption 100%
  • Cryptography 48%
  • Hash Function 12%
  • Hash functions 11%
  • Style 9%

• Grammar induction with neural language models: An unusual replication

  Htut, P. M., Cho, K. & Bowman, S. R., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 4998-5003 6 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Language Model 100%
  • Replication 70%
  • Grammar 67%
  • Proof by induction 62%
  • Language Modeling 38%

• Grammar Induction with Neural Language Models: An Unusual Replication

  Htut, P. M., Cho, K. & Bowman, S. R., 2018, EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop. Association for Computational Linguistics (ACL), p. 371-373 3 p. (EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Graph convolutional networks with argument-aware pooling for event detection

  Nguyen, T. H. & Grishman, R., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 5900-5907 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Convolutional neural networks 100%
  • Syntactics 56%
  • Convolution 54%
  • Neural networks 33%
  • Experiments 19%

• GreenApps: A platform for cellular edge applications

  Ahmad, T., Reed-Sanchez, E., Zarinni, F., Afutu, A., Adjaho, K., Nyarko, Y. & Subramanian, L., Jun 20 2018, Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2018. Association for Computing Machinery, Inc, 3212704. (Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Base stations 100%

• Holojam in wonderland: Immersive mixed reality theater

  Gochfeld, D., Brenner, C., Layng, K., Herscher, S., De Fanti, C., Olko, M., Shinn, D., Riggs, S., Fernández-Vara, C. & Perlin, K., Aug 12 2018, ACM SIGGRAPH 2018 Art Gallery, SIGGRAPH 2018. Association for Computing Machinery, Inc, p. 362-367 6 p. (ACM SIGGRAPH 2018 Art Gallery, SIGGRAPH 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Mixed reality 100%
  • Theaters 95%

• Hybrid beamforming for 5G millimeter-wave multi-cell networks

  Sun, S., Rappaport, T. S. & Shaft, M., Jul 6 2018, INFOCOM 2018 - IEEE Conference on Computer Communications Workshops. Institute of Electrical and Electronics Engineers Inc., p. 589-596 8 p. (INFOCOM 2018 - IEEE Conference on Computer Communications Workshops).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Millimeter Wave 100%
  • Beamforming 89%
  • Millimeter waves 55%
  • Spectral Efficiency 44%
  • Cell 41%

• Implementation of a Near-Optimal Complex Root Clustering Algorithm

  Imbach, R., Pan, V. Y. & Yap, C., 2018, Mathematical Software – ICMS 2018 - 6th International Conference, Proceedings. Davenport, J. H., Labahn, G., Urban, J. & Kauers, M. (eds.). Springer Verlag, p. 235-244 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10931 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Clustering Algorithm 100%
  • Clustering algorithms 68%
  • Roots 57%
  • Natural Computing 41%
  • Optimal Algorithm 27%

• Improving tourism prediction models using climate and social media data: A fine-grained approach

  Khatibi, A., Belem, F., Silva, A. P., Shasha, D., Almeida, J. M. & Gonçalves, M. A., 2018, 12th International AAAI Conference on Web and Social Media, ICWSM 2018. AAAI press, p. 636-639 4 p. (12th International AAAI Conference on Web and Social Media, ICWSM 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Climate models 100%
  • Tourism industry 18%
  • Support vector regression 14%
  • Linear regression 12%
  • Profitability 10%

• Including new patterns to improve event extraction systems

  Cao, K., Li, X., Ma, W. & Grishman, R., 2018, Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018. Brawner, K. & Rus, V. (eds.). AAAI press, p. 487-492 6 p. (Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Investigation and comparison of 3GPP and NYUSIM channel models for 5G wireless communications

  Rappaport, T. S., Sun, S. & Shafi, M., Feb 8 2018, 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-5 5 p. (IEEE Vehicular Technology Conference; vol. 2017-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Channel Model 100%
  • Partnership 98%
  • Wireless Communication 90%
  • Spectral Efficiency 34%
  • Communication 32%

• Jump to better conclusions: SCAN both left and right

  Bastings, J., Baroni, M., Weston, J., Cho, K. & Kiela, D., 2018, EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop. Association for Computational Linguistics (ACL), p. 47-55 9 p. (EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Jump 100%
  • Model 31%
  • Use Case 31%
  • Generalization 24%
  • Experiment 18%

• Learning by Asking Questions

  Misra, I., Girshick, R., Fergus, R., Hebert, M., Gupta, A. & Van Der Maaten, L., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 11-20 10 p. 8578107. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Curricula 100%
  • Learning systems 97%
  • Testing 49%

• Learning to reweight examples for robust deep learning

  Ren, M., Zeng, W., Yang, B. & Urtasun, R., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 6900-6909 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 10).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hyperparameters 100%
  • Learning 72%
  • Deep learning 71%
  • Labels 68%
  • Tuning 63%

• Letting a neural network decide which machine translation system to use for black-box fuzzy-match repair

  Ortega, J. E., Lu, W., Meyers, A. & Cho, K., Jan 1 2018, EAMT 2018 - Proceedings of the 21st Annual Conference of the European Association for Machine Translation. Perez-Ortiz, J. A., Sanchez-Martinez, F., Espla-Gomis, M., Popovic, M., Rico, C., Martins, A., Van den Bogaert, J. & Forcada, M. L. (eds.). European Association for Machine Translation, p. 209-218 10 p. (EAMT 2018 - Proceedings of the 21st Annual Conference of the European Association for Machine Translation).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Machine Translation System 100%
  • Neural Networks 76%
  • neural network 75%
  • Knowledge based systems 69%
  • Repair 62%

• Low Latency RNN Inference with Cellular Batching

  Gao, P., Wu, Y., Yu, L. & Li, J., Apr 23 2018, Proceedings of the 13th EuroSys Conference, EuroSys 2018. Association for Computing Machinery, Inc, (Proceedings of the 13th EuroSys Conference, EuroSys 2018; vol. 2018-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Throughput 100%
  • Recurrent neural networks 37%
  • Learning systems 36%
  • Deep learning 32%
  • Neural networks 21%

• Low-Order Control Design using a Reduced-Order Model with a Stability Constraint on the Full-Order Model

  Benner, P., Mitchell, T. & Overton, M. L., Jul 2 2018, 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3000-3005 6 p. 8619449. (Proceedings of the IEEE Conference on Decision and Control; vol. 2018-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reduced Order Model 100%
  • Control Design 92%
  • Controller 72%
  • Controllers 41%
  • Model Order Reduction 27%

• Max-margin learning with the Bayes factor

  Krishnan, R. G., Khandelwal, A., Ranganath, R. & Sontag, D., 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Silva, R., Globerson, A. & Globerson, A. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), p. 896-905 10 p. (34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning algorithms 100%

• Meta-learning for low-resource neural machine translation

  Gu, J., Wang, Y., Chen, Y., Cho, K. & Li, V. O. K., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 3622-3631 10 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Meta-learning 100%
  • Machine Translation 89%
  • Transfer learning 60%
  • Resources 47%
  • Learning algorithms 42%