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Dmitry Kazhdan
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2020 – today
- 2023
- [c7]Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik:
Towards Robust Metrics for Concept Representation Evaluation. AAAI 2023: 11791-11799 - [c6]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: 233-255 - [i12]Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik:
Towards Robust Metrics for Concept Representation Evaluation. CoRR abs/2301.10367 (2023) - [i11]Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò:
GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR abs/2302.04899 (2023) - 2022
- [c5]Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió:
Algorithmic Concept-Based Explainable Reasoning. AAAI 2022: 6685-6693 - [c4]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 - [i10]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik:
Encoding Concepts in Graph Neural Networks. CoRR abs/2207.13586 (2022) - [i9]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 abs/2211.07650 (2022) - 2021
- [c3]Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson:
Manipulating SGD with Data Ordering Attacks. NeurIPS 2021: 18021-18032 - [i8]Dmitry Kazhdan, Botty Dimanov, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò, Adrian Weller:
Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches. CoRR abs/2104.06917 (2021) - [i7]Maleakhi A. Wijaya, Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik:
Failing Conceptually: Concept-Based Explanations of Dataset Shift. CoRR abs/2104.08952 (2021) - [i6]Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson:
Manipulating SGD with Data Ordering Attacks. CoRR abs/2104.09667 (2021) - [i5]Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò:
Algorithmic Concept-based Explainable Reasoning. CoRR abs/2107.07493 (2021) - [i4]Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, Pietro Liò:
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks. CoRR abs/2107.11889 (2021) - 2020
- [c2]Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò, Adrian Weller:
Now You See Me (CME): Concept-based Model Extraction. CIKM (Workshops) 2020 - [c1]Dmitry Kazhdan, Zohreh Shams, Pietro Liò:
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library. IJCNN 2020: 1-8 - [i3]Dmitry Kazhdan, Zohreh Shams, Pietro Liò:
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library. CoRR abs/2004.07928 (2020) - [i2]Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò, Adrian Weller:
Now You See Me (CME): Concept-based Model Extraction. CoRR abs/2010.13233 (2020) - [i1]Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò:
MEME: Generating RNN Model Explanations via Model Extraction. CoRR abs/2012.06954 (2020)
Coauthor Index
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