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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 ]

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 ]

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

More information here

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