Publications

Found 166 results
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C
C. Christoudias, M., Urtasun R., Salzmann M., & Darrell T. (2010).  Learning to Recognize Objects from Unseen Modalities. 677-691.
Clay, R. D., & Séquin C. H. (1991).  Limiting Fault-Induced Output Errors In ANNs.
Codenotti, B., & Margara L. (1992).  Local Properties of Some NP-Complete Problems.
Consortium, T. C. A. R. D. IoG. R. A. M. (2011).  Large-scale Association Analysis Identifies 13 New Susceptibility Loci for Coronary Artery Disease. Nature Genetics. 43(4), 333-338.
Crawford, L.. E., Regier T., & Huttenlocher J.. (2000).  Linguistic and Non-Linguistic Spatial Categorization. Cognition. 75(3), 209-235.
Culler, D. E., Karp R. M., Patterson D., Sahay A., Schauser K. Erik, Santos E. E., et al. (1993).  LogP: towards a realistic model of parallel computation. SIGPLAN Notices. 28,
Culler, D. E., Karp R. M., Patterson D., & Sahay A. (1996).  LogP: A Practical Model of Parallel Computation. Communications of the ACM. 39(11), 78-85.
Culler, D. E., Karp R. M., Patterson D., Sahay A., Schauser K. Erik, Santos E. E., et al. (1993).  LogP: towards a realistic model of parallel computation. Proceedings of the Fourth ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. 1-12.
D
Dagum, P. (1989).  A Linear-Time Algorithm for Enumerating Perfect Matchings in Skew Bipartite Graphs.
Darken, C., Chang J.., & Moody J. (1992).  Learning Rate Schedules for Faster Stochastic Gradient Search. Neural Networks for Signal Processing.
Donahue, J., Hendricks L. Anne, Guadarrama S., Rohrbach M., Venugopalan S., Saenko K., et al. (2015).  Long-Term Recurrent Convolutional Networks for Visual Recognition and Description.
E
Elizalde, B. Martinez, & Friedland G. (2013).  Lost in Segmentation: Three Approaches for Speech/Non-Speech Detection in Consumer-Produced Videos.
Ellis, C. S., Feldman J., & Heliotis J.. E. (1982).  Language Constructs and Support Systems for Distributed Computing. Proceedings of the ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC 1982). 1-9.
N. Erichson, B., Azencot O., Queiruga A., Hodgkinson L., & Mahoney M. (2021).  Lipschitz recurrent neural networks. International Conference on Learning Representations.
Eshragh, A., Roosta F., Nazari A., & Mahoney M. (2022).  LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data. Journal of Machine Learning Research. 23, 1-36.
Eskin, E., Halperin E., & Karp R. M. (2003).  Large Scale Reconstruction of Haplotypes from Genotype Data. Proceedings of the Seventh Conference on Research in Computational Biology (RECOMB).
Eskin, E., Halperin E., & Karp R. M. (2002).  Large-Scale Reconstruction of Haplotype Structure via Perfect Phylogeny.
etin, Ö. Ç., & Stolcke A. (2005).  Language Modeling in the ICSI-SRI Spring 2005 Meeting Speech Recognition Evaluation System.
F
Fayazbakhsh, S. Kaveh, Lin Y., Tootoonchian A., Ghodsi A., Koponen T., Maggs B. M., et al. (2013).  Less Pain, Most of the Gain: Incrementally Deployable ICN. 147-158.
Feldman, J., & Ellis C. S. (1982).  Language Constructs and Support Systems for Distributed Computing.
Feldman, J., Lakoff G.., Bailey D. R., Narayanan S., Regier T., & Stolcke A. (1996).  L0 - The First Five Years of an Automated Language Acquisition Project. 10(1-2), 103-129.
Feldman, J., & Ellis C. S. (1982).  Language Constructs and Support Systems for Distributed Computing. Proceedings of Distributed Computing Symposium.
Feldman, J., & Rovner P. D. (1968).  The Leap Language and Data Structure. Proceedings of the International Federation of Information Processing Societies.
Feldman, J. (2019).  Language, Stapp, and the Mind/Body/World Problem. Activitas Nervosa Superior. 98–101.
Feldman, J., & Baily D.. (1998).  Layered hybrid connectionist models for cognitive science. Proceedings of the International NIPS Workshop on Hybrid Neural Symbolic Integration (NIPS 98).

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