Ondrej Biza

According to our database1, Ondrej Biza authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards.
CoRR, 2024

ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter.
CoRR, 2024

Equivariant Offline Reinforcement Learning.
CoRR, 2024

Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies.
CoRR, 2024

2023
On robot grasp learning using equivariant models.
Auton. Robots, December, 2023

Equivariant Single View Pose Prediction Via Induced and Restricted Representations.
CoRR, 2023

Equivariant Single View Pose Prediction Via Induced and Restriction Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames.
Proceedings of the International Conference on Machine Learning, 2023

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

One-shot Imitation Learning via Interaction Warping.
Proceedings of the Conference on Robot Learning, 2023

2022
I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images.
CoRR, 2022

Binding Actions to Objects in World Models.
CoRR, 2022

Factored World Models for Zero-Shot Generalization in Robotic Manipulation.
CoRR, 2022

Sample Efficient Grasp Learning Using Equivariant Models.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Symmetric Embeddings for Equivariant World Models.
Proceedings of the International Conference on Machine Learning, 2022

2021
The Impact of Negative Sampling on Contrastive Structured World Models.
CoRR, 2021

Action Priors for Large Action Spaces in Robotics.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Learning discrete state abstractions with deep variational inference.
CoRR, 2020

2019
Online Abstraction with MDP Homomorphisms for Deep Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019


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