Dmitry Kazhdan

19 papers A* 3B 1Journal 12Unranked 3

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