Dmitry Kazhdan

According to our database, Dmitry Kazhdan authored at least 13 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GCI: A (G)raph (C)oncept (I)nterpretation Framework.

Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò

CoRR, 2023

Concept Distillation in Graph Neural Networks.

Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò

Proceedings of the Explainable Artificial Intelligence, 2023

Towards Robust Metrics for Concept Representation Evaluation.

Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Encoding Concepts in Graph Neural Networks.

Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik

CoRR, 2022

Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations.

Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi A. Wijaya, Mateja Jamnik, Pietro Liò

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Algorithmic Concept-Based Explainable Reasoning.

Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks.

Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, Pietro Liò

CoRR, 2021

Failing Conceptually: Concept-Based Explanations of Dataset Shift.

Maleakhi A. Wijaya, Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik

CoRR, 2021

Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches.

Dmitry Kazhdan, Botty Dimanov, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò, Adrian Weller

CoRR, 2021

Manipulating SGD with Data Ordering Attacks.

Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

MEME: Generating RNN Model Explanations via Model Extraction.

Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò

CoRR, 2020

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library.

Dmitry Kazhdan, Zohreh Shams, Pietro Liò

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Now You See Me (CME): Concept-based Model Extraction.

Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò, Adrian Weller

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020