Ekaterina Komendantskaya

Orcid: 0000-0002-3240-0987

According to our database1, Ekaterina Komendantskaya authored at least 80 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Taming Differentiable Logics with Coq Formalisation.
CoRR, 2024

NLP Verification: Towards a General Methodology for Certifying Robustness.
CoRR, 2024

Marabou 2.0: A Versatile Formal Analyzer of Neural Networks.
CoRR, 2024

Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs.
CoRR, 2024

2023
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification.
CoRR, 2023

Logic of Differentiable Logics: Towards a Uniform Semantics of DL.
Proceedings of the LPAR 2023: Proceedings of 24th International Conference on Logic for Programming, 2023

Towards a Certified Proof Checker for Deep Neural Network Verification.
Proceedings of the Logic-Based Program Synthesis and Transformation, 2023

Compiling Higher-Order Specifications to SMT Solvers: How to Deal with Rejection Constructively.
Proceedings of the 12th ACM SIGPLAN International Conference on Certified Programs and Proofs, 2023

Neuro-Symbolic AI + Agent Systems: A First Reflection on Trends, Opportunities and Challenges.
Proceedings of the Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2023 Workshops, London, UK, May 29, 2023

2022
CheckINN: Wide Range Neural Network Verification in Imandra (Extended).
CoRR, 2022

Why Robust Natural Language Understanding is a Challenge.
CoRR, 2022

Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers.
CoRR, 2022

CheckINN: Wide Range Neural Network Verification in Imandra.
Proceedings of the PPDP 2022: 24th International Symposium on Principles and Practice of Declarative Programming, Tbilisi, Georgia, September 20, 2022

Differentiable Logics for Neural Network Training and Verification.
Proceedings of the Software Verification and Formal Methods for ML-Enabled Autonomous Systems, 2022

Neural Networks in Imandra: Matrix Representation as a Verification Choice.
Proceedings of the Software Verification and Formal Methods for ML-Enabled Autonomous Systems, 2022

Neural Network Robustness as a Verification Property: A Principled Case Study.
Proceedings of the Computer Aided Verification - 34th International Conference, 2022

Comparing Complexities of Decision Boundaries for Robust Training: A Universal Approach.
Proceedings of the Computer Vision - ACCV 2022, 2022

The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Property-driven Training: All You (N)Ever Wanted to Know About.
CoRR, 2021

Actions you can handle: dependent types for AI plans.
Proceedings of the TyDe 2021: Proceedings of the 6th ACM SIGPLAN International Workshop on Type-Driven Development, 2021

2020
The New Normal: We Cannot Eliminate Cuts in Coinductive Calculi, But We Can Explore Them.
Theory Pract. Log. Program., 2020

Continuous Verification of Machine Learning: a Declarative Programming Approach.
Proceedings of the PPDP '20: 22nd International Symposium on Principles and Practice of Declarative Programming, 2020

Proof-Carrying Plans: a Resource Logic for AI Planning.
Proceedings of the PPDP '20: 22nd International Symposium on Principles and Practice of Declarative Programming, 2020

Relative Robustness of Quantized Neural Networks Against Adversarial Attacks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Accuracy, Training Time and Hardware Efficiency Trade-Offs for Quantized Neural Networks on FPGAs.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2020

Neural Networks, Secure by Construction - An Exploration of Refinement Types.
Proceedings of the Programming Languages and Systems - 18th Asian Symposium, 2020

2019
Neural Network Verification for the Masses (of AI graduates).
CoRR, 2019

Coinductive Uniform Proofs.
CoRR, 2019

Proof-Carrying Plans.
Proceedings of the Practical Aspects of Declarative Languages, 2019

Coinduction in Uniform: Foundations for Corecursive Proof Search with Horn Clauses.
Proceedings of the Programming Languages and Systems, 2019

2018
Proof-relevant Horn Clauses for Dependent Type Inference and Term Synthesis.
Theory Pract. Log. Program., 2018

Logic programming: Laxness and saturation.
J. Log. Algebraic Methods Program., 2018

Towards Coinductive Theory Exploration in Horn Clause Logic: Position Paper.
Proceedings of the Proceedings 5th Workshop on Horn Clauses for Verification and Synthesis, 2018

2017
Productive corecursion in logic programming.
Theory Pract. Log. Program., 2017

Operational semantics of resolution and productivity in Horn clause logic.
Formal Aspects Comput., 2017

Proof Mining with Dependent Types.
Proceedings of the Intelligent Computer Mathematics - 10th International Conference, 2017

2016
Coalgebraic logic programming: from Semantics to Implementation.
J. Log. Comput., 2016

Structural Resolution for Abstract Compilation of Object-Oriented Languages.
Proceedings of the First Workshop on Coalgebra, Horn Clause Logic Programming and Types, 2016

CoALP-Ty'16.
CoRR, 2016

Coinductive Soundness of Corecursive Type Class Resolution.
CoRR, 2016

Operational Semantics of Resolution in Horn Clause Logic.
CoRR, 2016

A Productivity Checker for Logic Programming.
Proceedings of the Logic-Based Program Synthesis and Transformation, 2016

Coinductive Soundness of Corecursive Type Class Resolution.
Proceedings of the Logic-Based Program Synthesis and Transformation, 2016

Proof Relevant Corecursive Resolution.
Proceedings of the Functional and Logic Programming - 13th International Symposium, 2016

Category Theoretic Semantics for Theorem Proving in Logic Programming: Embracing the Laxness.
Proceedings of the Coalgebraic Methods in Computer Science, 2016

2015
Structural Resolution: a Framework for Coinductive Proof Search and Proof Construction in Horn Clause Logic.
CoRR, 2015

A Type-Theoretic Approach to Structural Resolution.
CoRR, 2015

A Type-Theoretic Approach to Resolution.
Proceedings of the Logic-Based Program Synthesis and Transformation, 2015

Structural Resolution for Logic Programming.
Proceedings of the Technical Communications of the 31st International Conference on Logic Programming (ICLP 2015), Cork, Ireland, August 31, 2015

2014
Recycling Proof Patterns in Coq: Case Studies.
Math. Comput. Sci., 2014

Guarding (Co)Recursion in Coalgebraic Logic Programming.
CoRR, 2014

ACL2(ml): Machine-Learning for ACL2.
Proceedings of the Proceedings Twelfth International Workshop on the ACL2 Theorem Prover and its Applications, 2014

HoTT formalisation in Coq: Dependency Graphs \& ML4PG.
CoRR, 2014

Proof Pattern Search in Coq/SSReflect.
CoRR, 2014

2013
Exploiting Parallelism in Coalgebraic Logic Programming.
Proceedings of the Workshop on Algebra, Coalgebra and Topology, 2013

Statistical Proof Pattern Recognition: Automated or Interactive?
CoRR, 2013

ML4PG: proof-mining in Coq
CoRR, 2013

Statistical Proof-Patterns in Coq/SSReflect
CoRR, 2013

Proof-Pattern Recognition in ACL2.
CoRR, 2013

ML4PG in Computer Algebra Verification.
Proceedings of the Intelligent Computer Mathematics, 2013

Proof-Pattern Recognition and Lemma Discovery in ACL2.
Proceedings of the Logic for Programming, Artificial Intelligence, and Reasoning, 2013

2012
Machine Learning in Proof General: Interfacing Interfaces
Proceedings of the Proceedings 10th International Workshop On User Interfaces for Theorem Provers, 2012

Neural Networks for Proof-Pattern Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Unification neural networks: unification by error-correction learning.
Log. J. IGPL, 2011

SHERLOCK - An Interface for Neuro-Symbolic Networks.
Proceedings of the Seventh International Workshop on Neural-Symbolic Learning and Reasoning, 2011

Machine Learning Coalgebraic Proofs.
Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Coalgebraic Derivations in Logic Programming.
Proceedings of the Computer Science Logic, 2011

Coalgebraic Semantics for Derivations in Logic Programming.
Proceedings of the Algebra and Coalgebra in Computer Science, 2011

2010
Neuro-symbolic Representation of Logic Programs Defining Infinite Sets.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Coalgebraic Semantics for Parallel Derivation Strategies in Logic Programming.
Proceedings of the Algebraic Methodology and Software Technology, 2010

2009
Neurons or Symbols - Why does OR Remain Exclusive?.
Proceedings of the IJCCI 2009, 2009

Parallel Rewriting in Neural Networks.
Proceedings of the IJCCI 2009, 2009

2008
Inductive and Coinductive Components of Corecursive Functions in Coq.
Proceedings of the Ninth Workshop on Coalgebraic Methods in Computer Science, 2008

Using Structural Recursion for Corecursion.
Proceedings of the Types for Proofs and Programs, International Conference, 2008

Unification by Error-Correction.
Proceedings of the Fourth International Workshop on Neural-Symbolic Learning and Reasoning, 2008

Fibrational Semantics for Many-Valued Logic Programs: Grounds for Non-Groundness.
Proceedings of the Logics in Artificial Intelligence, 11th European Conference, 2008

2007
Connectionist Representation of Multi-Valued Logic Programs.
Proceedings of the Perspectives of Neural-Symbolic Integration, 2007

A Sequent Calculus for Bilattice-Based Logic and Its Many-Sorted Representation.
Proceedings of the Automated Reasoning with Analytic Tableaux and Related Methods, 2007

First-order deduction in neural networks.
Proceedings of the LATA 2007. Proceedings of the 1st International Conference on Language and Automata Theory and Applications., 2007

2006
Sound and Complete SLD-Resolution for Bilattice-Based Annotated Logic Programs.
Proceedings of the Irish Conference on the Mathematical Foundations of Computer Science and Information Technology, 2006


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