:: Library Catalog

Imatge de la portada

Guardat en:

Dades bibliogràfiques
Autors principals:	Braun, Steven, Mundt, Martin, Kersting, Kristian
Format:	Preprint
Publicat:	2023
Matèries:	Machine Learning Artificial Intelligence
Accés en línia:	https://arxiv.org/abs/2306.02090
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars

Tractable Representation Learning with Probabilistic Circuits
per: Braun, Steven, et al.
Publicat: (2025)

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
per: Mundt, Martin, et al.
Publicat: (2025)

Adaptive Rational Activations to Boost Deep Reinforcement Learning
per: Delfosse, Quentin, et al.
Publicat: (2021)

Deep Reinforcement Learning via Object-Centric Attention
per: Blüml, Jannis, et al.
Publicat: (2025)

Core Tokensets for Data-efficient Sequential Training of Transformers
per: Paul, Subarnaduti, et al.
Publicat: (2024)

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

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning
per: Shindo, Hikaru, et al.
Publicat: (2026)

HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
per: Delfosse, Quentin, et al.
Publicat: (2024)

Object Centric Concept Bottlenecks
per: Steinmann, David, et al.
Publicat: (2025)

Hyperparameter Optimization via Interacting with Probabilistic Circuits
per: Seng, Jonas, et al.
Publicat: (2025)

Self-Expanding Neural Networks
per: Mitchell, Rupert, et al.
Publicat: (2023)

Exploring the Adversarial Capabilities of Large Language Models
per: Struppek, Lukas, et al.
Publicat: (2024)

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

Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
per: Kohler, Hector, et al.
Publicat: (2024)

Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
per: Hintersdorf, Dominik, et al.
Publicat: (2024)

Recursive Inference Machines for Neural Reasoning
per: Komisarczyk, Mieszko, et al.
Publicat: (2026)

Neural Concept Binder
per: Stammer, Wolfgang, et al.
Publicat: (2024)

Deep Reinforcement Learning Agents are not even close to Human Intelligence
per: Delfosse, Quentin, et al.
Publicat: (2025)

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

Explaining Neural Networks without Access to Training Data
per: Marton, Sascha, et al.
Publicat: (2022)

AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
per: Deiseroth, Björn, et al.
Publicat: (2023)

Learning by Self-Explaining
per: Stammer, Wolfgang, et al.
Publicat: (2023)

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

Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
per: Sidheekh, Sahil, et al.
Publicat: (2024)

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

T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
per: Deiseroth, Björn, et al.
Publicat: (2024)

Masked Autoencoders are Efficient Continual Federated Learners
per: Paul, Subarnaduti, et al.
Publicat: (2023)

BOWL: A Deceptively Simple Open World Learner
per: Kamath, Roshni . R., et al.
Publicat: (2024)

Better Decisions through the Right Causal World Model
per: Dillies, Elisabeth, et al.
Publicat: (2025)

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

Beyond Mimicry: Toward Lifelong Adaptability in Imitation Learning
per: Gavenski, Nathan, et al.
Publicat: (2026)

Scaling Probabilistic Circuits via Data Partitioning
per: Seng, Jonas, et al.
Publicat: (2025)

Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves
per: Knupp, Jonas, et al.
Publicat: (2026)

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

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

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

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

AtManRL: Towards Faithful Reasoning via Differentiable Attention Saliency
per: Höth, Max Henning, et al.
Publicat: (2026)

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
per: Delfosse, Quentin, et al.
Publicat: (2023)

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