Max Argus

40 papers A* 5A 4Misc 1Journal 26Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Learning of Object Placement With Intra-Category Transfer.
IEEE Robotics Autom. Lett.
Adrian Röfer, Russell Buchanan, Max Argus, Sethu Vijayakumar, Abhinav Valada
2026 J jnl
MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation.
CoRR
Abhay Deshpande, Maya Guru, Rose Hendrix, Snehal Jauhri, Ainaz Eftekhar, Rohun Tripathi, Max Argus, Jordi Salvador, Haoquan Fang, Matthew Wallingford, Wilbert Pumacay, Yejin Kim, Quinn Pfeifer, Ying-Chun Lee, Piper Wolters, Omar Rayyan, Mingtong Zhang, Jiafei Duan, Karen Farley, Winson Han, Eli VanderBilt, Dieter Fox, Ali Farhadi, Georgia Chalvatzaki, Dhruv Shah, Ranjay Krishna
2026 J jnl
MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation.
CoRR
Yejin Kim, Wilbert Pumacay, Omar Rayyan, Max Argus, Winson Han, Eli VanderBilt, Jordi Salvador, Abhay Deshpande, Rose Hendrix, Snehal Jauhri, Shuo Liu, Nur Muhammad (Mahi) Shafiullah, Maya Guru, Ainaz Eftekhar, Karen Farley, Donovan Clay, Jiafei Duan, Arjun Guru, Piper Wolters, Alvaro Herrasti, Ying-Chun Lee, Georgia Chalvatzaki, Yuchen Cui, Ali Farhadi, Dieter Fox, Ranjay Krishna
2025 J jnl
Selective Concept Bottleneck Models Without Predefined Concepts.
Trans. Mach. Learn. Res.
Simon Schrodi, Julian Schur, Max Argus, Thomas Brox
2025 A* conf
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models.
ICLR
Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox
2025 A* conf
When and How Does CLIP Enable Domain and Compositional Generalization?
ICML
Elias Kempf, Simon Schrodi, Max Argus, Thomas Brox
2025 J jnl
When and How Does CLIP Enable Domain and Compositional Generalization?
CoRR
Elias Kempf, Simon Schrodi, Max Argus, Thomas Brox
2025 J jnl
cVLA: Towards Efficient Camera-Space VLAs.
CoRR
Max Argus, Jelena Bratulic, Houman Masnavi, Maxim Velikanov, Nick Heppert, Abhinav Valada, Thomas Brox
2024 A* conf
Compositional Servoing by Recombining Demonstrations.
ICRA
Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
2024 J jnl
Concept Bottleneck Models Without Predefined Concepts.
CoRR
Simon Schrodi, Julian Schur, Max Argus, Thomas Brox
2024 A* conf
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.
ICLR
Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters
2024 A conf
DITTO: Demonstration Imitation by Trajectory Transformation.
IROS
Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
2024 J jnl
DITTO: Demonstration Imitation by Trajectory Transformation.
CoRR
Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
2024 — conf
Latent Diffusion Counterfactual Explanations.
GCPR (1)
Simon Schrodi, Karim Farid, Max Argus, Thomas Brox
2024 J jnl
Learning Few-Shot Object Placement with Intra-Category Transfer.
CoRR
Adrian Röfer, Russell Buchanan, Max Argus, Sethu Vijayakumar, Abhinav Valada
2024 Misc conf
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching.
CoRL
Eugenio Chisari, Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
2024 J jnl
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching.
CoRR
Eugenio Chisari, Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada
2024 J jnl
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Representation Learning.
CoRR
Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox
2023 J jnl
Climate-sensitive Urban Planning through Optimization of Tree Placements.
CoRR
Simon Schrodi, Ferdinand Briegel, Max Argus, Andreas Christen, Thomas Brox
2023 J jnl
Compositional Servoing by Recombining Demonstrations.
CoRR
Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox
2023 — conf
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection.
ICCV (Workshops)
Silvio Galesso, Max Argus, Thomas Brox
2023 J jnl
Latent Diffusion Counterfactual Explanations.
CoRR
Karim Farid, Simon Schrodi, Max Argus, Thomas Brox
2022 A conf
Conditional Visual Servoing for Multi-Step Tasks.
IROS
Sergio Izquierdo, Max Argus, Thomas Brox
2022 J jnl
Conditional Visual Servoing for Multi-Step Tasks.
CoRR
Sergio Izquierdo, Max Argus, Thomas Brox
2022 J jnl
Far Away in the Deep Space: Nearest-Neighbor-Based Dense Out-of-Distribution Detection.
CoRR
Silvio Galesso, Max Argus, Thomas Brox
2022 J jnl
RobotIO: A Python Library for Robot Manipulation Experiments.
CoRR
Lukás Hermann, Max Argus, Adrian Röfer, Abhinav Valada, Thomas Brox, Wolfram Burgard
2021 — conf
Contrastive Representation Learning for Hand Shape Estimation.
GCPR
Christian Zimmermann, Max Argus, Thomas Brox
2021 J jnl
Contrastive Representation Learning for Hand Shape Estimation.
CoRR
Christian Zimmermann, Max Argus, Thomas Brox
2021 J jnl
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization.
CoRR
Artemij Amiranashvili, Max Argus, Lukás Hermann, Wolfram Burgard, Thomas Brox
2021 A conf
Temporal Shift GAN for Large Scale Video Generation.
WACV
Andrés Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox
2020 A* conf
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control.
ICRA
Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox
2020 A conf
FlowControl: Optical Flow Based Visual Servoing.
IROS
Max Argus, Lukás Hermann, Jon Long, Thomas Brox
2020 J jnl
FlowControl: Optical Flow Based Visual Servoing.
CoRR
Max Argus, Lukás Hermann, Jon Long, Thomas Brox
2020 J jnl
Multi-Variate Temporal GAN for Large Scale Video Generation.
CoRR
Andrés Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox
2019 J jnl
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control.
CoRR
Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox
2019 J jnl
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.
CoRR
Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters
2019 J jnl
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images.
CoRR
Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell, Max Argus, Thomas Brox
2019 J jnl
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans.
CoRR
Max Argus, Cornelia Schaefer-Prokop, David A. Lynch, Bram van Ginneken
2017 — conf
Loss is its own Reward: Self-Supervision for Reinforcement Learning.
ICLR (Workshop)
Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell
2016 J jnl
Loss is its own Reward: Self-Supervision for Reinforcement Learning.
CoRR
Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell