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portfolio

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publications

Clustering with Deep Learning: Taxonomy and New Methods

Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui, Maximilian Strobel, and Daniel Cremers
arXiv, 2018
[ pdf ]

Associative deep clustering: Training a classification network with no labels

Philip Haeusser, Johannes Plapp, Vladimir Golkov, Elie Aljalbout, and Daniel Cremers
GCPR, 2018
[ pdf ]

Tracking Holistic Object Representations

Axel Sauer*, Elie Aljalbout*, Sami Haddadin (*Shared first authorship)
BMVC (oral, acceptance rate: 4%), **Best Science Paper Award**, 2019
[ pdf | url ]

Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach

Elie Aljalbout, Florian Walter, Florian Roehrbein, and Alois Knoll
Neural Processing Letters, Springer, 2020
[ pdf | url ]

How to Make Deep RL Work in Practice

Nirnai Rao*, Elie Aljalbout*, Axel Sauer*, Sami Haddadin (*Shared first authorship)
NeurIPS, Workshop on Deep RL, 2020
[ pdf | url ]

Learning Vision-based Reactive Policies for Obstacle Avoidance

Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer and Sami Haddadin
CoRL, 2020
[ pdf | url ]

Learning robotic manipulation skills using an adaptive force-impedance action space

Maximilian Ulmer, Elie Aljalbout, Sascha Schwarz, Sami Haddadin
arXiv, 2021
[ pdf ]

Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning

Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
ICRA, 2022
[ pdf | url ]

Learning to Centralize Dual-Arm Assembly

Marvin Alles, Elie Aljalbout
Frontiers in Robotics and AI, 2022
[ pdf | url ]

CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces

Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
L4DC, 2023
[ pdf | url ]

Multi-Task Reinforcement Learning for Quadrotors

Jiaxu Xing, Ismail Geles, Yunlong Song, Elie Aljalbout, Davide Scaramuzza
RA-L, 2024
[ pdf ]

The Shortcomings of Force-from-Motion in Robot Learning

Elie Aljalbout, Felix Frank, Patrick van der Smagt, Alexandros Paraschos
ICRA, 2024
[ pdf ]

On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer

Elie Aljalbout*, Felix Frank*, Maximilian Karl, Patrick van der Smagt
RA-L, 2024
[ pdf | url ]

Guided Decoding for Robot On-line Motion Generation and Adaption

Nutan Chen, Botond Cseke, Elie Aljalbout, Alexandros Paraschos, Marvin Alles, Patrick Van der Smagt
IEEE Humanoids, 2024
[ pdf ]

Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning

Angel Romero, Elie Aljalbout, Yunlong Song, Davide Scaramuzza
IEEE Transactions on Robotics, 2025
[ pdf ]

Accelerating Model-Based Reinforcement Learning with State-Space World Models

Maria Krinner*, Elie Aljalbout*, Angel Romero, Davide Scaramuzza
ICLR 2025 Workshop on World Models: Understanding, Modelling and Scaling, 2025
[ pdf ]

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control

Hassan et al
CVPR, 2025
[ pdf | url ]

Limt: Language-Informed Multi-Task Visual World Models

Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen
ICRA, 2025
[ pdf ]

Student-Informed Teacher Training

Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza
ICLR, 2025
[ pdf | url ]

The Reality Gap in Robotics: Challenges, Solutions, and Best Practices

Elie Aljalbout, Jiaxu Xing, Angel Romero, Iretiayo Akinola, Caelan Reed Garrett, Eric Heiden, Abhishek Gupta, Tucker Hermans, Yashraj Narang, Dieter Fox, Davide Scaramuzza, Fabio Ramos
Annual Review of Control, Robotics, and Autonomous Systems, 2026
[ pdf | url ]

talks

Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!

Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

More information here

Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.

teaching

Robotics and AI: Seminal Work

Seminar course, Technical University of Munich, MSRM, 2019

Robotics Sciences and Systems Intelligence

Seminar course, Technical University of Munich, MSRM, 2019

Fundamentals of Human-centered Robotics

Lecture, Technical University of Munich, MSRM, 2020