Cohen, Taco

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

Zintgraf, L. M., Cohen, T. S., Adel, T., & Welling, M. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 487

Rotation Equivariant CNNs for Digital Pathology

Veeling, B. S., Linmans, J., Winkens, J., Cohen, T., & Welling, M. (2018) · Lecture Notes in Computer Science

AI in cancer detectionAdvanced Neural Network Applications

Cited by 476

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Gehring, J., Zheng, K., Copet, J., Mella, V., Carbonneaux, Q., Cohen, T., & Synnaeve, G. (2024) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 23

Steerable CNNs

Cohen, T. S., & Welling, M. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 20

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Copet, J., Carbonneaux, Q., Cohen, G., Gehring, J., Kahn, J., Kossen, J., Kreuk, F., McMilin, E., Meyer, M., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity

Audran-Reiss, A., Armengol-Estapé, J., Hambardzumyan, K., Budhiraja, A., Josifoski, M., Toledo, E., Hazra, R., Magka, D., Shvartsman, M., Pathak, P., et al. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0