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Sashank Varma
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2020 – today
- 2024
- [i6]Atith Gandhi, Raj Sanjay Shah, Vijay Marupudi, Sashank Varma:
Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments. CoRR abs/2401.10393 (2024) - [i5]Xin Lian, Sashank Varma, Christopher J. MacLellan:
Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning. CoRR abs/2403.03835 (2024) - 2023
- [c16]Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma:
Numeric Magnitude Comparison Effects in Large Language Models. ACL (Findings) 2023: 6147-6161 - [i4]Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma:
Numeric Magnitude Comparison Effects in Large Language Models. CoRR abs/2305.10782 (2023) - [i3]Khushi Bhardwaj, Raj Sanjay Shah, Sashank Varma:
Pre-training LLMs using human-like development data corpus. CoRR abs/2311.04666 (2023) - [i2]Vima Gupta, Sashank Varma:
Neural Network Models of Becoming a Cardinal Principle Knower. CoRR abs/2311.15194 (2023) - 2022
- [j4]Jeffrey K. Bye, Rina Harsch, Sashank Varma:
Decoding fact fluency and strategy flexibility in solving one-step algebra problems: An individual differences analysis. J. Numer. Cogn. 8(2): 281-294 (2022) - [j3]V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma:
Categorical Perception of p-Values. Top. Cogn. Sci. 14(2): 414-425 (2022) - [c15]Mengchen Su, Lukas A. Olson, Daniel C. Jarratt, Sashank Varma, Joseph A. Konstan, Rebecca J. L. Keller, Bodong Chen:
Re-envisioning a K-12 Early Warning System with School Climate Factors. L@S 2022: 405-408 - 2020
- [c14]Jeffrey K. Bye, Rina Harsch, Sashank Varma:
Algebra decoded: individual differences in strategy selection when solving for 'x'. CogSci 2020 - [c13]Kara Kedrick, Sashank Varma, Paul Schrater:
Identifying Individual Differences in Sensemaking and Information Foraging. CogSci 2020 - [c12]Vijay Marupudi, V. N. Vimal Rao, Jimin Park, Rina Harsch, Jeffrey K. Bye, Sashank Varma:
Clustering as a precursor to efficient and near-optimal solution of small instances of the Traveling Salesperson Problem (TSP). CogSci 2020
2010 – 2019
- 2018
- [j2]Purav Patel, Sashank Varma:
How the Abstract Becomes Concrete: Irrational Numbers Are Understood Relative to Natural Numbers and Perfect Squares. Cogn. Sci. 42(5): 1642-1676 (2018) - [c11]Soo-hyun Im, Sashank Varma:
Arithmetic Sense Predicts Children's Mathematical Achievement Better Than Arithmetic Fluency. CogSci 2018 - [c10]Jimin Park, Keisha Varma, Sashank Varma:
Does shifting ability support interleaved learning of new science concepts in middle school students? CogSci 2018 - [c9]Soo-hyun Im, Sashank Varma:
Sequencing Arithmetic, Area, and Algebraic Instruction for Teaching the Distributive Principle. ICLS 2018 - 2017
- [c8]Drake Bauer, Sashank Varma, Keisha Varma, Martin Van Boekel, Alyssa Worley, Jean-Baptiste Quillien, Tayler Loiselle, Purav Patel:
The Relationship Between Executive Functions and Science Achievement. CogSci 2017 - [c7]Qian Zhao, Sashank Varma, Joseph A. Konstan:
In-Video Reuse of Discussion Threads in MOOCs. L@S 2017: 153-156 - 2016
- [c6]Purav Patel, Sashank Varma:
Mental representations and processing of radical expressions. CogSci 2016 - 2014
- [i1]Yll Haxhimusa, Iris van Rooij, Sashank Varma, Todd Wareham:
Resource-bounded Problem Solving (Dagstuhl Seminar 14341). Dagstuhl Reports 4(8): 45-72 (2014) - 2013
- [c5]John Tracy Hale, Richard L. Lewis, David Reitter, Chung-chieh Shan, Sashank Varma:
Integrating Language and Cognitive Architecture. AAAI Fall Symposia 2013 - 2011
- [j1]Sashank Varma:
Criteria for the Design and Evaluation of Cognitive Architectures. Cogn. Sci. 35(7): 1329-1351 (2011)
2000 – 2009
- 2007
- [c4]Sashank Varma:
Resource Constraints on Computation and Communication in the Brain. IJCAI 2007: 611-616 - 2006
- [c3]Sashank Varma, Daniel L. Schwartz, W. Lawrence Neeley Jr.:
Strangeness. AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications 2006: 56- - [c2]Sashank Varma, Marcel Adam Just:
4CAPS: An Adaptive Architecture for Human Information Processing. AAAI Spring Symposium: Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems 2006: 91-96 - [c1]Sashank Varma, Daniel L. Schwartz, Bruce D. McCandliss:
Is Neuroscience a Learning Science? ICLS 2006
Coauthor Index
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last updated on 2024-04-25 05:51 CEST by the dblp team
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