Lennart Brocki

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Generative Model

Top Venues

EXTRAAMAS@AAMAS

Tiny Papers @ ICLR

Publications

Neo Christopher Chung, Hongkyou Chung, Hearim Lee, Hongbeom Chung, Lennart Brocki, George C. Dyer
False Sense of Security in Explainable Artificial Intelligence (XAI). CoRR (2024)
Lennart Brocki, George C. Dyer, Anna Gladka, Neo Christopher Chung
Deep Learning Mental Health Dialogue System. BigComp (2023)
Lennart Brocki, Neo Christopher Chung
Class-Discriminative Attention Maps for Vision Transformers. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks. Tiny Papers @ ICLR (2023)
Lennart Brocki, George C. Dyer, Anna Gladka, Neo Christopher Chung
Deep Learning Mental Health Dialogue System. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Feature perturbation augmentation for reliable evaluation of importance estimators in neural networks. Pattern Recognit. Lett. 176 (2023)
Neo Christopher Chung, George C. Dyer, Lennart Brocki
Challenges of Large Language Models for Mental Health Counseling. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Evaluation of Interpretability Methods and Perturbation Artifacts in Deep Neural Networks. CoRR (2022)
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography. EXTRAAMAS@AAMAS (2022)
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
Evaluation of importance estimators in deep learning classifiers for Computed Tomography. CoRR (2022)
Lennart Brocki, Neo Christopher Chung
Input Bias in Rectified Gradients and Modified Saliency Maps. BigComp (2021)
Lennart Brocki, Neo Christopher Chung
Removing Brightness Bias in Rectified Gradients. CoRR (2020)
Lennart Brocki, Neo Christopher Chung
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models. ICMLA (2019)
Lennart Brocki, Neo Christopher Chung
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models. CoRR (2019)