Daniel Dijkman

According to our database, Daniel Dijkman authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

From Code to Action: Hierarchical Learning of Diffusion-VLM Policies.

Markus Peschl, Pietro Mazzaglia, Daniel Dijkman

CoRR, September, 2025

Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action models.

Rokas Bendikas, Daniel Dijkman, Markus Peschl, Sanjay Haresh, Pietro Mazzaglia

CoRR, September, 2025

2024

Deconfounding Imitation Learning with Variational Inference.

Risto Vuorio, Pim de Haan, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen

Trans. Mach. Learn. Res., 2024

ClevrSkills: Compositional Language And Visual Reasoning in Robotics.

Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Information-driven Affordance Discovery for Efficient Robotic Manipulation.

Pietro Mazzaglia, Taco Cohen, Daniel Dijkman

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Uncertainty-driven Affordance Discovery for Efficient Robotics Manipulation.

Pietro Mazzaglia, Taco Cohen, Daniel Dijkman

CoRR, 2023

Neural 5G Indoor Localization with IMU Supervision.

Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold, Mohammed Hirzallah, Roohollah Amiri, Deepak Singh Mahendar Singh, Srinivas Yerramalli, Daniel Dijkman, Fatih Porikli, Taesang Yoo, Bence Major

Proceedings of the IEEE Global Communications Conference, 2023

2022

Deconfounded Imitation Learning.

Risto Vuorio, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen, Pim de Haan

CoRR, 2022

2021

Modality-Agnostic Topology Aware Localization.

Farhad Ghazvinian Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Max Welling, Fatih Porikli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Learning Frameworks for Weakly-Supervised Indoor Localization.

Farhad G. Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Ishaque Kadampot, Brian Buesker, Vamsi Vegunta, Fatih Porikli

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels.

Ilia Karmanov, Farhad G. Zanjani, Ishaque Kadampot, Simone Merlin, Daniel Dijkman

Proceedings of the IEEE Global Communications Conference, 2021