:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Freymuth, Niklas, Dahlinger, Philipp, Würth, Tobias, Becker, Philipp, Taranovic, Aleksandar, Grönheim, Onno, Kärger, Luise, Neumann, Gerhard
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.14161
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
by: Freymuth, Niklas, et al.
Published: (2025)

Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards
by: Freymuth, Niklas, et al.
Published: (2024)

Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
by: Dahlinger, Philipp, et al.
Published: (2025)

Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
by: Würth, Tobias, et al.
Published: (2025)

Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes
by: Würth, Tobias, et al.
Published: (2024)

Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators
by: Dahlinger, Philipp, et al.
Published: (2026)

MaNGO - Adaptable Graph Network Simulators via Meta-Learning
by: Dahlinger, Philipp, et al.
Published: (2025)

KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty
by: Becker, Philipp, et al.
Published: (2024)

Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
by: Celik, Onur, et al.
Published: (2024)

TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
by: Becker, Philipp, et al.
Published: (2025)

Can Neural Networks Provide Latent Embeddings for Telemetry-Aware Greedy Routing?
by: Boltres, Andreas, et al.
Published: (2026)

Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
by: Hoang, Tai, et al.
Published: (2025)

Beyond Visuals: Investigating Force Feedback in Extended Reality for Robot Data Collection
by: Li, Xueyin, et al.
Published: (2025)

Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms
by: Boltres, Andreas, et al.
Published: (2026)

Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics
by: Boltres, Andreas, et al.
Published: (2024)

Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
by: Alt, Benjamin, et al.
Published: (2023)

Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity
by: Gospodinov, Emiliyan, et al.
Published: (2024)

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL
by: Becker, Philipp, et al.
Published: (2023)

PointPatchRL -- Masked Reconstruction Improves Reinforcement Learning on Point Clouds
by: Gyenes, Balázs, et al.
Published: (2024)

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
by: Scheikl, Paul Maria, et al.
Published: (2023)

Towards Fusing Point Cloud and Visual Representations for Imitation Learning
by: Donat, Atalay, et al.
Published: (2025)

Efficient Off-Policy Learning for High-Dimensional Action Spaces
by: Otto, Fabian, et al.
Published: (2024)

Scaffolding Dexterous Manipulation with Vision-Language Models
by: de Bakker, Vincent, et al.
Published: (2025)

Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
by: Hess, Philipp, et al.
Published: (2024)

Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval
by: Freymuth, Niklas, et al.
Published: (2025)

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation
by: Li, Haoran, et al.
Published: (2026)

Generating Sizing Fields for Mesh Generation via GCN-based Simplification of Adaptive Background Grids
by: Zhu, Xunyang, et al.
Published: (2025)

Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
by: Hoang, Tai, et al.
Published: (2025)

Chemiebier
by: Gerhard Karger
Published: (2024)

2023: Preise und Auszeichnungen der GDCh‐Fachgruppen, GDCh‐Arbeitsgemeinschaften und gemeinsamer Fachgruppen
by: Gerhard Karger
Published: (2024)

Mint und mehr
by: Gerhard Karger
Published: (2024)

Der Hörer: Erbgut‐Eingriffe
by: Gerhard Karger
Published: (2025)

Fachgruppen 2023: Austausch und Förderung
by: Gerhard Karger
Published: (2024)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract)
by: Hager, Philipp, et al.
Published: (2025)

CLAX: Fast and Flexible Neural Click Models in JAX
by: Hager, Philipp, et al.
Published: (2025)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
by: Hager, Philipp, et al.
Published: (2025)

Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks
by: Pilar, Philipp, et al.
Published: (2023)

Beyond Task Performance: Human Experience in Human-Robot Collaboration
by: Kille, Sean, et al.
Published: (2025)

Goal-Driven Adaptive Sampling Strategies for Machine Learning Models Predicting Fields
by: Parekh, Jigar, et al.
Published: (2026)

A Multi-Body Dobrushin-Sokal Criterion -- Part I
by: Neumann, Jan Philipp
Published: (2025)