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Kazhdan, Dmitry
15  results:
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1

Concept Distillation in Graph Neural Networks:

, In: Communications in Computer and Information Science; Explainable Artificial Intelligence,
Magister, Lucie Charlotte ; Barbiero, Pietro ; Kazhdan, Dmitry... - p. 233-255 , 2023
Link: https://doi.org/10.1007/..
 
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2

MARLeME: A Multi-Agent Reinforcement Learning Model Extract..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Kazhdan, Dmitry ; Shams, Zohreh ; Lio, Pietro - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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3

Towards Robust Metrics for Concept Representation Evaluatio:

Zarlenga, Mateo Espinosa ; Barbiero, Pietro ; Shams, Zohreh...
http://arxiv.org/abs/2301.10367.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

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

Kazhdan, Dmitry ; Dimanov, Botty ; Magister, Lucie Charlotte...
http://arxiv.org/abs/2302.04899.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Encoding Concepts in Graph Neural Networks:

Magister, Lucie Charlotte ; Barbiero, Pietro ; Kazhdan, Dmitry...
http://arxiv.org/abs/2207.13586.  , 2022
Link: http://arxiv.org/abs/220..
 
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6

Explainer Divergence Scores (EDS): Some Post-Hoc Explanatio..:

Cardozo, Shea ; Montero, Gabriel Islas ; Kazhdan, Dmitry...
http://arxiv.org/abs/2211.07650.  , 2022
Link: http://arxiv.org/abs/221..
 
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7

Failing Conceptually: Concept-Based Explanations of Dataset..:

Wijaya, Maleakhi A ; Kazhdan, Dmitry ; Dimanov, Botty.
http://arxiv.org/abs/2104.08952.  , 2021
Link: http://arxiv.org/abs/210..
 
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8

Algorithmic Concept-based Explainable Reasoning:

Georgiev, Dobrik ; Barbiero, Pietro ; Kazhdan, Dmitry..
http://arxiv.org/abs/2107.07493.  , 2021
Link: http://arxiv.org/abs/210..
 
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9

GCExplainer: Human-in-the-Loop Concept-based Explanations f..:

Magister, Lucie Charlotte ; Kazhdan, Dmitry ; Singh, Vikash.
http://arxiv.org/abs/2107.11889.  , 2021
Link: http://arxiv.org/abs/210..
 
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10

Manipulating SGD with Data Ordering Attacks:

Shumailov, Ilia ; Shumaylov, Zakhar ; Kazhdan, Dmitry...
http://arxiv.org/abs/2104.09667.  , 2021
Link: http://arxiv.org/abs/210..
 
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11

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

Kazhdan, Dmitry ; Dimanov, Botty ; Terre, Helena Andres...
http://arxiv.org/abs/2104.06917.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

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

Kazhdan, Dmitry ; Dimanov, Botty ; Jamnik, Mateja..
http://arxiv.org/abs/2010.13233.  , 2020
Link: http://arxiv.org/abs/201..
 
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13

MEME: Generating RNN Model Explanations via Model Extractio:

Kazhdan, Dmitry ; Dimanov, Botty ; Jamnik, Mateja.
http://arxiv.org/abs/2012.06954.  , 2020
Link: http://arxiv.org/abs/201..
 
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14

MARLeME: A Multi-Agent Reinforcement Learning Model Extract..:

Kazhdan, Dmitry ; Shams, Zohreh ; Liò, Pietro
http://arxiv.org/abs/2004.07928.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

Representations of reductive groups 

Conference in Honor of Joseph Bernstein Representation Theo...  Proceedings of symposia in pure mathematics ; volume 101
Aizenbud, Avraham ; Gourevitch, Dmitry ; Kazhdan, D. A... , [2019]
Copies:  Zentrale:E02 a mat 001 i/10-101
 
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