Publications

Found 4228 results
[ Author(Desc)] Title Type Year
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Shastri, L., & Ajjanagadde V. (1993).  From simple associations to systematic reasoning. 16(3), 417-494.
Shastri, L. (2002).  Episodic Memory and Cortico-Hippocampal Interactions. Trends in Cognitive Sciences. 6(4), 162-168.
Shastri, L. (2000).  An Extended Local Connectionist Manifesto: Embracing Relational and Procedural Knowledge. Behavioral and Brain Sciences. 23(4), 492-493.
Shastri, L. (1999).  Infants learning algebraic rules. Science. 285(5434), 
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.
Shastri, L., & Grannes D. Jeffrey (1995).  Dealing with Negated Knowledge and Inconsistency in a Neurally Motivated Model of Memory and Reflexive Reasoning.
Shastri, L. (1993).  A Computational Model of Tractable Reasoning -- Taking Inspiration from Cognition. Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI 93). 202-207.
Shastri, L., Grannes D. Jeffrey, Narayanan S., & Feldman J. (2002).  A Connectionist Encoding of Parameterized Schemas and Reactive Plans.
Shastri, L. (2002).  A Computationally Efficient Abstraction of Long-term Potentiation. Neurocomputing. 44-46, 33-41.
Shastri, L., Grannes D. Jeffrey, Narayanan S., & Feldman J. (2002).  A Connectionist Encoding of Parameterized Schemas and Reactive Plans.
Shastri, L. (1999).  Recruitment of binding and binding-error detector circuits via long-term potentiation. 26-27, 865-874.
Shastri, L. (1999).  A Biological Grounding of Recruitment Learning and Vicinal Algorithms.
Shastri, L. (1997).  Rapid Learning of Binding-Match and Binding-Error Detector Circuits via Long-Term Potentiation.
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., & Mani D.. R. (1997).  Massively Parallel Knowledge Representation and Reasoning - Taking a Cue from the Brain.
Shastri, L., & Grannes D. Jeffrey (1995).  Dealing with negated knowledge and inconsistency in a neurally motivated model of memory and reflexive reasoning.
Shastri, L., & Grannes D. Jeffrey (1996).  A case study of SHRUTI. 2,
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).
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.
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.
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., McKeown N., Anderson T., Balakrishnan H., Parulkar G., Peterson L., et al. (2008).  OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Computer Communication Review . 38(2), 71.
Shenker, S. J. (1990).  A Theoretical Analysis of Feedback Flow Control. Proceedings of the ACM SIGCOMM Symposium on Communications Architectures & Protocols. 156-165.

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