Distributed Computing
ETH Zurich

Benjamin Estermann

Benjamin Estermann

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 60.1
ETH Zurich

Gloriastrasse 35
8092 Zurich
Switzerland

phone+41 44 63 27028
fax+41 44 63 21036
email

Publications

Theses & Labs

Available Theses & Labs

TitleTypeContact/SupervisorAssigned
AlphaZero Meets ARCMAndreas Plesner,
Benjamin Estermann
available
Optimizing Inventory ManagementM/SAndreas Plesner,
Benjamin Estermann
available
Reasoning Benchmark for LLMsM/SBenjamin Estermann,
Luca Lanzendörfer
available
Representation Learning for Reinforcement Learning (RL4RL)M/SBenjamin Estermannavailable

Current Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Hierarchical Representations for TransformersMBenjamin EstermannFS 24
Learning from DemonstrationsGBenjamin EstermannFS 24
Puzzle solving with Graph Neural NetworksSJoël Mathys,
Benjamin Estermann
FS 24

Past Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Exploit Detection in the Evolution of DAppsMBenjamin Estermann,
Ye Wang
FS 24
Hidden State Aggregation Models with GNN Convolutions Applied to Multivariate Time-Series Forecasting in Energy Markets [confidential]MBenjamin EstermannFS 24
FunctaFormer: Domain Agnostic Super Resolution [confidential]MLuca Lanzendörfer,
Benjamin Estermann
FS 24
Exploring Typical and Uncertainty-Driven Active Learning on DINO Embeddings to Enhance Versatility [confidential]STill Aczel,
Benjamin Estermann
HS 23
Object-Centric Reasoning with Language and Code [confidential]GBenjamin Estermann,
Joël Mathys
HS 23
DataComp ChallengeGTill Aczel,
Benjamin Estermann
HS 23
SUPClust: Active Learning at the BoundariesSBenjamin Estermann,
Till Aczel
HS 23
Machine Unlearning ChallengeSLuca Lanzendörfer,
Benjamin Estermann
HS 23
In-Depth Analysis of Bidding Strategies in MEV Auctions [confidential]GBenjamin Estermann,
Ye Wang
HS 23
Train Small - Solve Big: Reinforcement Learning on Logic Puzzles using Graph Neural Networks [confidential]MBenjamin Estermann,
Joël Mathys
HS 23
Understanding the Effects of Improved Representations on Downstream Reinforcement Learning Tasks [confidential]SBenjamin EstermannHS 23
Scaling MARL with Graph Neural NetworksMBenjamin Estermann,
Florian Grötschla
HS 23
Distributed Reinforcement Learning for Autonomous Driving in TrackMania [confidential]GBenjamin Estermann,
Luca Lanzendörfer
HS 23
Enhancing the Building Blocks of Language-Based Visual Reasoning for ARCMJoël Mathys,
Benjamin Estermann
FS 23
Improving the Interface of the Jass AIGBenjamin EstermannFS 23
Make Blockchain Public Again [confidential]BBenjamin Estermann,
Ye Wang
FS 23
Reinforcement Learning Benchmark for Logic Puzzles [confidential]MLuca Lanzendörfer,
Benjamin Estermann
FS 23
Representation Learning for Reinforcement Learning [confidential]BBenjamin EstermannFS 23
Swarm Intelligence Cup [confidential]GBenjamin Estermann,
Florian Grötschla
FS 23
Distributed Setup for Trackmania Reinforcement LearningGLuca Lanzendörfer,
Benjamin Estermann
FS 23
A Neural-Guided Program Synthesis Approach to the Abstraction and Reasoning Challenge [confidential]GJoël Mathys,
Benjamin Estermann
HS 22
Abstraction and Reasoning Challenge - Reasoning with Language [confidential]GJoël Mathys,
Benjamin Estermann
HS 22,
Exploring Trading on Decentralized Exchanges using Reinforcement LearningMBenjamin Estermann,
Ye Wang
HS 22
Performing Better Trading Strategies in DeFi with the Help of Machine Learning [confidential]SBenjamin Estermann,
Ye Wang
HS 22
Reinforcement Learning for the Jass AI [confidential]SBenjamin Estermann,
Xiaofeng Flint Fan
HS 22
Code Search for Natural Querying [confidential]BPeter Belcák,
Benjamin Estermann
FS 22
Data Curation Mechanisms for Algorithm LearningBPeter Belcák,
Benjamin Estermann
FS 22
Data-driven Preprocessing of EEG DataMArd Kastrati,
Benjamin Estermann
FS 22
Disentangling Representations of Graph Drawings [confidential]BBenjamin Estermann,
Peter Belcák
FS 22
Disentanglement for Reinforcement LearningBBenjamin EstermannFS 22
Improving Deep Learning-Powered Iterative Combinatorial Auctions [confidential]BYe Wang,
Benjamin Estermann
FS 22
Quantifying Effects of Design Decisions in VAE-based Unsupervised Disentanglement Learning [confidential]BBenjamin Estermann,
Peter Belcák
FS 22
Using Pattern Recognition and Imitation Learning to Improve the Jass AI [confidential]SOliver Richter,
Benjamin Estermann
HS 21
User Tailored Jass AISOliver Richter,
Benjamin Estermann
HS 21