Publications

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Shastri, L., Grannes D. Jeffrey, Narayanan S., & Feldman J. (2002).  A Connectionist Encoding of Parameterized Schemas and Reactive Plans.
Shastri, L. (1999).  Infants learning algebraic rules. Science. 285(5434), 
Shastri, L. (2002).  A Computationally Efficient Abstraction of Long-term Potentiation. Neurocomputing. 44-46, 33-41.
Shastri, L., & Grannes D. Jeffrey (1995).  Dealing with Negated Knowledge and Inconsistency in a Neurally Motivated Model of Memory and Reflexive Reasoning.
Shastri, L. (1997).  Exploiting Temporal Binding to Learn Relational Rules Within a Connectionist Network.
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. (2001).  Episodic Memory Trace Formation in the Hippocampal System: A Model of Cortico-Hippocampal Interaction.
Shastri, L. (2007).  SHRUTI: A Neurally Motivated Architecture for Rapid, Scalable Inference. 183-203.
Shastri, L. (1997).  Rapid Learning of Binding-Match and Binding-Error Detector Circuits via Long-Term Potentiation.
Shastri, L., & Grannes D. Jeffrey (1995).  Dealing with negated knowledge and inconsistency in a neurally motivated model of memory and reflexive reasoning.
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. (2001).  Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation. 348-367.
Shastri, L. (2004).  From Transient Patterns to Persistent Structures: A model of episodic memory formation via cortic-hippocampal interactions.
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. J. (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. J., & Wroclawski J. (1997).  Network Element Service Specification Template.

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