Dmitry Kazhdan

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 19

Top Topics

Evaluation Methodology

Model Based Reasoning

Text Categorization

Top Venues

Publications

Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò
GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR (2023)
Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò
Concept Distillation in Graph Neural Networks. xAI (3) (2023)
Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Towards Robust Metrics for Concept Representation Evaluation. CoRR (2023)
Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Towards Robust Metrics for Concept Representation Evaluation. AAAI (2023)
Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió
Algorithmic Concept-Based Explainable Reasoning. AAAI (2022)
Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi A. Wijaya, Mateja Jamnik, Pietro Liò
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations. CIKM Workshops (2022)
Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik
Encoding Concepts in Graph Neural Networks. CoRR (2022)
Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi A. Wijaya, Mateja Jamnik, Pietro Liò
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations. CoRR (2022)
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson
Manipulating SGD with Data Ordering Attacks. NeurIPS (2021)
Maleakhi A. Wijaya, Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik
Failing Conceptually: Concept-Based Explanations of Dataset Shift. CoRR (2021)
Dmitry Kazhdan, Botty Dimanov, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò, Adrian Weller
Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches. CoRR (2021)
Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò
Algorithmic Concept-based Explainable Reasoning. CoRR (2021)
Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, Pietro Liò
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks. CoRR (2021)
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson
Manipulating SGD with Data Ordering Attacks. CoRR (2021)
Dmitry Kazhdan, Zohreh Shams, Pietro Liò
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library. CoRR (2020)
Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò, Adrian Weller
Now You See Me (CME): Concept-based Model Extraction. CIKM (Workshops) (2020)
Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò
MEME: Generating RNN Model Explanations via Model Extraction. CoRR (2020)
Dmitry Kazhdan, Zohreh Shams, Pietro Liò
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library. IJCNN (2020)
Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò, Adrian Weller
Now You See Me (CME): Concept-based Model Extraction. CoRR (2020)