logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
G

Grégoire Montavon

Berlin Institute for the Foundations of Learning and Data

32H指数
132论文数
1.9W被引数
收录论文 27
发表时间
logo
Fast and accurate explanations of distance-based classifiers by uncovering latent explanatory structures基于距离的分类器的快速准确解释：揭示潜在的解释结构
errPattern Recognition
IF7.6
err2026-04-28
err0
errOAAI
errFlorian Bley; Jacob Kauffmann; Simon León Krug; Klaus-Robert Müller; Grégoire Montavon
err分享
err收藏
Mitigating Clever Hans Strategies in Image Classifiers through Generating Counterexamples通过生成反例来缓解图像分类器中的聪明汉斯策略
errInformation Fusion
IF15.5
err2026-04-25
err0
errOAAI
errSidney Bender; Ole Delzer; Jan Herrmann; Heike Antje Marxfeld; Klaus-Robert Müller; Grégoire Montavon
err分享
err收藏
Wasserstein Distances Made Explainable: Insights Into Dataset Shifts and Transport PhenomenaWasserstein距离的可解释性：对数据集偏移和传输现象的见解
errIEEE Transactions on Pattern Analysis and Machine Intelligence
IF18.6
err2026-01-22
err0
errOAAI
errPhilip Naumann; Jacob Kauffmann; Grégoire Montavon
err分享
err收藏
Uncovering the Structure of Explanation Quality with Spectral Analysis利用谱分析揭示解释质量的结构
errEXPLAINABLE ARTIFICIAL INTELLIGENCE, XAI 2025, PT III
IF0
err2026-01-01
err0
errOAAI
errMaess, Johannes; Montavon, Gregoire; Nakajima, Shinichi; Mueller, Klaus-Robert; Schnake, Thomas
err分享
err收藏
XpertAI: Uncovering Regression Model Strategies for Sub-manifoldsXpertAI：揭示子流形回归模型的策略
errEXPLAINABLE ARTIFICIAL INTELLIGENCE, XAI 2025, PT III
IF0
err2026-01-01
err0
errOAAI
errLetzgus, Simon; Muller, Klaus-Robert; Montavon, Gregoire
err分享
err收藏
MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor ClassificationMeDi：基于元数据的扩散模型用于肿瘤分类中的偏见缓解
errMEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2025, PT XIV
IF0
err2026-01-01
err0
PREAI
errJacoblilrexlini, David; Elippell, Jonas; Hense, Julius; PrenlEP, Niklas; Montavon, Gregoire; Klauschen, Frederick; Miiller, Klaus-Robert
err分享
err收藏
Towards desiderata-driven design of visual counterfactual explainers面向期望驱动的视觉反事实解释器设计
errPattern Recognition
IF7.6
err2025-12-11
err0
errOAAI
errSidney Bender; Jan Herrmann; Klaus-Robert Müller; Grégoire Montavon
err分享
err收藏
Neural interaction explainable AI predicts drug response across cancers神经交互可解释人工智能预测跨癌症的药物反应
errNAR Cancer
IF3.2
err2025-09-03
err0
errOAAI
errPhilipp Keyl; Julius Keyl; Andreas Mock; Gabriel Dernbach; Liliana H Mochmann; Niklas Kiermeyer; Philipp Jurmeister; Michael Bockmayr; Roland F Schwarz; Grégoire Montavon; Klaus-Robert Müller; Frederick Klauschen
err分享
err收藏
Explaining predictive uncertainty by exposing second-order effects通过暴露二阶效应解释预测不确定性
errPATTERN RECOGNITION
IF7.6
err2025-04-01
err0
errOAAI
errBley, Florian; Lapuschkin, Sebastian; Samek, Wojciech; Montavon, Gregoire
err分享
err收藏
Analyzing Atomic Interactions in Molecules as Learned by Neural Networks
errJOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF5.5
err2025-01-10
err1
errOAAI
errEsders, Malte; Schnake, Thomas; Lederer, Jonas; Kabylda, Adil; Montavon, Greegoire; Tkatchenko, Alexandre; Mueller, Klaus-Robert
err分享
err收藏
Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables
errSCIENCE ADVANCES
IF12.5
err2024-10-25
err0
errOAAI
errEberle, Oliver; Buettner, Jochen; el-Hajj, Hassan; Montavon, Gregoire; Mueller, Klaus-Robert; Valleriani, Matteo
err分享
err收藏
Explainable AI for time series via Virtual Inspection Layers通过虚拟检查层进行时间序列的可解释AI
errPATTERN RECOGNITION
IF7.6
err2024-06-01
err6
errOAAI
errVielhaben, Johanna; Lapuschkin, Sebastian; Montavon, Gregoire; Samek, Wojciech
err分享
err收藏
Preemptively pruning Clever-Hans strategies in deep neural networks深度神经网络中的抢先修剪Clever-Hans策略
errINFORMATION FUSION
IF15.5
err2024-03-01
err2
errOAAI
errLinhardt, Lorenz; Mueller, Klaus-Robert; Montavon, Gregoire
err分享
err收藏
From Clustering to Cluster Explanations via Neural Networks通过神经网络从聚类到聚类解释
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2024-02-01
err25
errOAAI
errKauffmann, Jacob; Esders, Malte; Ruff, Lukas; Montavon, Gregoire; Samek, Wojciech; Mueller, Klaus-Robert
err分享
err收藏
Toward Explainable Artificial Intelligence for Precision Pathology走向可解释的精确病理学人工智能
errANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE
IF34.5
err2024-01-24
err14
errOAAI
errKlauschen, Frederick; Dippel, Jonas; Keyl, Philipp; Jurmeister, Philipp; Bockmayr, Michael; Mock, Andreas; Buchstab, Oliver; Alber, Maximilian; Ruff, Lukas; Montavon, Gregoire; Mueller, Klaus-Robert
err分享
err收藏
Learning domain invariant representations by joint Wasserstein distance minimization
errNEURAL NETWORKS
IF6.3
err2023-10-01
err3
errOAAI
errAndeol, Leo; Kawakami, Yusei; Wada, Yuichiro; Kanamori, Takafumi; Mueller, Klaus-Robert; Montavon, Gregoire
err分享
err收藏
Single-cell gene regulatory network prediction by explainable AI基于可解释AI的单细胞基因调控网络预测
errNUCLEIC ACIDS RESEARCH
IF13.1
err2023-01-11
err20
errOAAI
errKeyl, Philipp; Bischoff, Philip; Dernbach, Gabriel; Bockmayr, Michael; Fritz, Rebecca; Horst, David; Bluethgen, Nils; Montavon, Gregoire; Mueller, Klaus-Robert; Klauschen, Frederick
err分享
err收藏
Toward Explainable Artificial Intelligence for Regression Models A methodological perspective
errIEEE SIGNAL PROCESSING MAGAZINE
IF9.6
err2022-07-01
err35
errOAAI
errLetzgus, Simon; Wagner, Patrick; Lederer, Jonas; Samek, Wojciech; Mueller, Klaus-Robert; Montavon, Gregoire
err分享
err收藏
Patient-level proteomic network prediction by explainable artificial intelligence
errNPJ PRECISION ONCOLOGY
IF8
err2022-06-07
err13
errOAAI
errKeyl, Philipp; Bockmayr, Michael; Heim, Daniel; Dernbach, Gabriel; Montavon, Gregoire; Mueller, Klaus-Robert; Klauschen, Frederick
err分享
err收藏
A Unifying Review of Deep and Shallow Anomaly Detection深浅异常检测的统一评述
errPROCEEDINGS OF THE IEEE
IF25.9
err2021-05-01
err482
errOAAI
errRuff, Lukas; Kauffmann, Jacob R.; Vandermeulen, Robert A.; Montavon, Gregoire; Samek, Wojciech; Kloft, Marius; Dietterich, Thomas G.; Mueller, Klaus-Robert
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
M
Matthias Scheffler
H 指数: 133 · 论文数: 1.0K
D
David Capper
H 指数: 95 · 论文数: 645
A
Alexandre Tkatchenko
H 指数: 82 · 论文数: 514
T
Thomas G. Dietterich
H 指数: 67 · 论文数: 297
U
Ulrich Schüller
H 指数: 64 · 论文数: 652
查看更多