Publications

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Shastri, L. (1999).  Infants learning algebraic rules. Science. 285(5434), 
Shastri, L., & Grannes D. Jeffrey (1995).  Dealing with Negated Knowledge and Inconsistency in a Neurally Motivated Model of Memory and Reflexive Reasoning.
Shastri, L., & Chang S. (1999).  A Spatiotemporal Connectionist Model of Algebraic Rule-Learning.
Shastri, L. (2000).  An Extended Local Connectionist Manifesto: Embracing Relational and Procedural Knowledge. Behavioral and Brain Sciences. 23(4), 492-493.
Shastri, L. (2003).  Structured Connectionist Models.
Shastri, L., & Mani D.. R. (1997).  Massively Parallel Knowledge Representation and Reasoning - Taking a Cue from the Brain.
Shastri, L. (2007).  SHRUTI: A Neurally Motivated Architecture for Rapid, Scalable Inference. 183-203.
Shastri, L., Chang S., & Greenberg S. (1999).  Syllable Detection and Segmentation Using Temporal Flow Neural Networks. Proceedings of the International Congress of Phonetic Sciences. 3, 1721-1724.
Shastri, L. (1999).  Recruitment of binding and binding-error detector circuits via long-term potentiation. 26-27, 865-874.
Shastri, L., & Grannes D. Jeffrey (1996).  A case study of SHRUTI. 2,
Shastri, L. (1996).  Temporal Synchrony, Dynamic Bindings, and SHRUTI -- a representational but non-classical model of reflexive reasoning. 19(2), 
Shastri, L. (1999).  A Biological Grounding of Recruitment Learning and Vicinal Algorithms.
Shastri, L. (2001).  Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation. 348-367.
Shastri, L., & Wendelken C. (1999).  Knowledge fusion in the large - taking a cue from the brain. Proceedings of the Second International Conference on Information Fusion (FUSION'99).
Shastri, L., & Feldman J. (1985).  Evidential Reasoning in Semantic Networks: A Formal Theory. Proceedings of the 9th International Joint Conference on Artificial Intelligence. 465-474.
Shelhamer, E., Barron J. T., & Darrell T. (2015).  Scene Intrinsics and Depth From a Single Image. The IEEE International Conference on Computer Vision (ICCV) Workshops.
Shelhamer, E., Long J., & Darrell T. (2016).  Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(4), 640-651.
Shem-Tov, D., & Halperin E. (2014).  Historical Pedigree Reconstruction from Extant Populations Using PArtitioning of RElatives (PREPARE). PLoS Computational Biology. 10(6), 
Shen, S.., Dong Z.., Ye J.., Ma L.., Yao Z.., Gholami A.., et al. (2020).  Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. Proceedings of the AAAI-20 Conference.
Shenker, S. (1995).  Making Greed Work in Networks: A Game-Theoretic Analysis of Switch Service Disciplines. IEEE/ACM Transactions on Networking. 3(6), 819-831.
Shenker, S., & Wroclawski J. (1997).  Network Element Service Specification Template.
Shenker, S. (1990).  A Theoretical Analysis of Feedback Flow Control. Proceedings of the ACM SIGCOMM Symposium on Communications Architectures & Protocols. 156-165.
Shenker, S., & Weinrib A. (1988).  Asymptotic Analysis of Large Heterogeneous Queuing Systems. Proceedings of the 1988 ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems (SIGMETRICS '88). 56-62.
Shenker, S., Zhang L., & Clark D. D. (1990).  Some Observations on the Dynamics of a Congestion Control Algorithm. ACM SIGCOMM Computer Communication Review. 20(5), 30-39.
Shenker, S., & Wroclawski J. (1997).  General Characterization Parameters for Integrated Service Network Elements.

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