Lennart Brocki

17 papers C 1Journal 12Unranked 4

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