Publications

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

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

Learning to Centralize Dual-Arm Assembly

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

Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning

E Aljalbout, Maximilian Ulmer, R Triebel
ICRA, 2022
[ pdf ]

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

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

Learning Vision-based Reactive Policies for Obstacle Avoidance

Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer and Sami Haddadin
CoRL, 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 ]

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 ]

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 ]

Associative deep clustering: Training a classification network with no labels

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

Clustering with Deep Learning: Taxonomy and New Methods

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