Ekaterina Komendantskaya
Ekaterina Komendantskaya
Professor in Computer Science, Heriot-Watt University, Scotland
Verified email at - Homepage
Cited by
Cited by
Machine Learning in Proof General: Interfacing Interfaces
E Komendantskaya, J Heras, G Grov
EPTCS 118 (User Interfaces for Theorem Provers), 15-41, 2013
Proof-pattern recognition and lemma discovery in ACL2
J Heras, E Komendantskaya, M Johansson, E Maclean
Logic for Programming, Artificial Intelligence, and Reasoning: 19th …, 2013
Coalgebraic logic programming: from semantics to implementation
E Komendantskaya, AJ Power, M Schmidt
Journal of Logic and Computation 26 (2), 745-783, 2016
Unification neural networks: unification by error-correction learning
E Komendantskaya
Logic Journal of the IGPL 19 (6), 821-847, 2011
Inductive and coinductive components of corecursive functions in Coq
Y Bertot, E Komendantskaya
Coalgebraic Methods in Computer Science, 2008, arXiv preprint arXiv:0807.1524, 2008
Operational semantics of resolution and productivity in Horn clause logic
P Fu, E Komendantskaya
Formal Aspects of Computing 29, 453-474, 2017
Proof Relevant Corecursive Resolution
P Fu, E Komendantskaya, T Schrijvers, A Pond
FLOPS'2016 arXiv preprint arXiv:1511.09394, 2015
Coalgebraic semantics for derivations in logic programming
E Komendantskaya, J Power
Algebra and Coalgebra in Computer Science: 4th International Conference …, 2011
Coalgebraic derivations in logic programming
E Komendantskaya, J Power
Computer Science Logic (CSL'11), 352-366, 2011
Recycling Proof Patterns in Coq: Case Studies
J Heras, E Komendantskaya
Mathematics in Computer Science, 2013
Coalgebraic semantics for parallel derivation strategies in logic programming
E Komendantskaya, G McCusker, J Power
Algebraic Methodology and Software Technology: 13th International Conference …, 2011
Using structural recursion for corecursion
Y Bertot, E Komendantskaya
Types for Proofs and Programs: International Conference, TYPES 2008 Torino …, 2009
Productive corecursion in logic programming
E Komendantskaya, Y Li
ICLP, International Conference on Logic Programming 2017, 2017
Neural Network Robustness as a Verification Property: A Principled Case Study
M Casadio, E Komendantskaya, ML Daggitt, W Kokke, G Katz, G Amir, ...
Structural Resolution for Logic Programming
P Johann, E Komendantskaya, V Komendantskiy
ICLP 2015, 2015
Coinduction in uniform: Foundations for corecursive proof search with horn clauses
H Basold, E Komendantskaya, Y Li
Programming Languages and Systems: 28th European Symposium on Programming …, 2019
Accuracy, training time and hardware efficiency trade-offs for quantized neural networks on fpgas
P Bacchus, R Stewart, E Komendantskaya
International symposium on applied reconfigurable computing, 121-135, 2020
Structural Resolution: a Framework for Coinductive Proof Search and Proof Construction in Horn Clause Logic
E Komendantskaya, P Johann, M Schmidt
A draft, available as arXiv preprint, 2017
Sound and complete SLD-resolution for bilattice-based annotated logic programs
E Komendantskaya, AK Seda
Electronic Notes in Theoretical Computer Science 225, 141-159, 2009
Connectionist representation of multi-valued logic programs
E Komendantskaya, M Lane, AK Seda
Perspectives of Neural-Symbolic Integration, 283-313, 2007
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