:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wüst, Antonia, Woydt, Tim, Helff, Lukas, Ibs, Inga, Stammer, Wolfgang, Dhami, Devendra S., Rothkopf, Constantin A., Kersting, Kristian
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2410.19546
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fodor and Pylyshyn's Legacy: Still No Human-like Systematic Compositionality in Neural Networks
by: Woydt, Tim, et al.
Published: (2025)

Synthesizing Visual Concepts as Vision-Language Programs
by: Wüst, Antonia, et al.
Published: (2025)

V-LoL: A Diagnostic Dataset for Visual Logical Learning
by: Helff, Lukas, et al.
Published: (2023)

Pix2Code: Learning to Compose Neural Visual Concepts as Programs
by: Wüst, Antonia, et al.
Published: (2024)

SLR: Automated Synthesis for Scalable Logical Reasoning
by: Helff, Lukas, et al.
Published: (2025)

Neural Concept Binder
by: Stammer, Wolfgang, et al.
Published: (2024)

Object Centric Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2025)

ActivationReasoning: Logical Reasoning in Latent Activation Spaces
by: Helff, Lukas, et al.
Published: (2025)

Learning Differentiable Logic Programs for Abstract Visual Reasoning
by: Shindo, Hikaru, et al.
Published: (2023)

Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
by: Poonia, Harsh, et al.
Published: (2025)

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
by: Kraus, Maurice, et al.
Published: (2024)

Causal Explanations Over Time: Articulated Reasoning for Interactive Environments
by: Rödling, Sebastian, et al.
Published: (2025)

BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
by: Shindo, Hikaru, et al.
Published: (2024)

LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
by: Helff, Lukas, et al.
Published: (2026)

Solution Numbers for Eight Blocks to Madness Puzzle
by: Johnson, Inga, et al.
Published: (2024)

SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems
by: Shindo, Hikaru, et al.
Published: (2026)

LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
by: Helff, Lukas, et al.
Published: (2024)

No Safe Dose: How Training Data Drives Unsafe Image Generation
by: Friedrich, Felix, et al.
Published: (2026)

Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
by: Natarajan, Sriraam, et al.
Published: (2024)

A Typology for Exploring the Mitigation of Shortcut Behavior
by: Friedrich, Felix, et al.
Published: (2022)

Learning to Intervene on Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2023)

Towards Probabilistic Clearance, Explanation and Optimization
by: Kohaut, Simon, et al.
Published: (2024)

StaR Maps: Unveiling Uncertainty in Geospatial Relations
by: Kohaut, Simon, et al.
Published: (2024)

Forecasting Company Fundamentals
by: Divo, Felix, et al.
Published: (2024)

Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs
by: Kohaut, Simon, et al.
Published: (2024)

EXPIL: Explanatory Predicate Invention for Learning in Games
by: Sha, Jingyuan, et al.
Published: (2024)

Reactive Knowledge Representation and Asynchronous Reasoning
by: Kohaut, Simon, et al.
Published: (2026)

United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once
by: Kraus, Maurice, et al.
Published: (2024)

Right in Time: Reactive Reasoning in Regulated Traffic Spaces
by: Kohaut, Simon, et al.
Published: (2026)

Right on Time: Revising Time Series Models by Constraining their Explanations
by: Kraus, Maurice, et al.
Published: (2024)

Tagged for Direction: Pinning Down Causal Edge Directions with Precision
by: Busch, Florian Peter, et al.
Published: (2025)

Graph Neural Networks Need Cluster-Normalize-Activate Modules
by: Skryagin, Arseny, et al.
Published: (2024)

Systems with Switching Causal Relations: A Meta-Causal Perspective
by: Willig, Moritz, et al.
Published: (2024)

Answer Set Networks: Casting Answer Set Programming into Deep Learning
by: Skryagin, Arseny, et al.
Published: (2024)

Probabilistic Mission Design for Neuro-Symbolic Unmanned Aircraft Systems
by: Kohaut, Simon, et al.
Published: (2024)

$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
by: Poonia, Harsh, et al.
Published: (2024)

DeiSAM: Segment Anything with Deictic Prompting
by: Shindo, Hikaru, et al.
Published: (2024)

The Constitutional Filter: Bayesian Estimation of Compliant Agents
by: Kohaut, Simon, et al.
Published: (2024)

Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation
by: Steinmann, David, et al.
Published: (2024)

Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
by: Delfosse, Quentin, et al.
Published: (2024)