Object-centric Denoising Diffusion Models for Physical Reasoning
Fuente:
arXiv
Guardado en:
| Autores principales: | Lange, Moritz, Engelhardt, Raphael C., Konen, Wolfgang, Melnik, Andrew, Wiskott, Laurenz |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison
por: Lange, Moritz, et al.
Publicado: (2023)
por: Lange, Moritz, et al.
Publicado: (2023)
Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task
por: Engelhardt, Raphael C., et al.
Publicado: (2024)
por: Engelhardt, Raphael C., et al.
Publicado: (2024)
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks
por: Lange, Moritz, et al.
Publicado: (2024)
por: Lange, Moritz, et al.
Publicado: (2024)
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
por: Oedingen, Marc, et al.
Publicado: (2024)
por: Oedingen, Marc, et al.
Publicado: (2024)
Memorization Control in Diffusion Models from Denoising-centric Perspective
por: Vu, Thuy Phuong, et al.
Publicado: (2026)
por: Vu, Thuy Phuong, et al.
Publicado: (2026)
Understanding Transformer-based Vision Models through Inversion
por: Rathjens, Jan, et al.
Publicado: (2024)
por: Rathjens, Jan, et al.
Publicado: (2024)
SlotPi: Physics-informed Object-centric Reasoning Models
por: Li, Jian, et al.
Publicado: (2025)
por: Li, Jian, et al.
Publicado: (2025)
Effects of Distributional Biases on Gradient-Based Causal Discovery in the Bivariate Categorical Case
por: Schwabe, Tim, et al.
Publicado: (2025)
por: Schwabe, Tim, et al.
Publicado: (2025)
Denoising Hamiltonian Network for Physical Reasoning
por: Deng, Congyue, et al.
Publicado: (2025)
por: Deng, Congyue, et al.
Publicado: (2025)
Slow Feature Analysis as Variational Inference Objective
por: Schüler, Merlin, et al.
Publicado: (2025)
por: Schüler, Merlin, et al.
Publicado: (2025)
Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?
por: Rathjens, Jan, et al.
Publicado: (2024)
por: Rathjens, Jan, et al.
Publicado: (2024)
What is the relation between Slow Feature Analysis and the Successor Representation?
por: Seabrook, Eddie, et al.
Publicado: (2024)
por: Seabrook, Eddie, et al.
Publicado: (2024)
Weakly Supervised Concept Learning for Object-centric Visual Reasoning
por: Tiwari, Sparsh, et al.
Publicado: (2026)
por: Tiwari, Sparsh, et al.
Publicado: (2026)
Predictive Process Monitoring Using Object-centric Graph Embeddings
por: Gherissi, Wissam, et al.
Publicado: (2025)
por: Gherissi, Wissam, et al.
Publicado: (2025)
Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation
por: Graves, Reid, et al.
Publicado: (2024)
por: Graves, Reid, et al.
Publicado: (2024)
The Safety-Aware Denoiser for Text Diffusion Models
por: Yusuf, Amman, et al.
Publicado: (2026)
por: Yusuf, Amman, et al.
Publicado: (2026)
DORSal: Diffusion for Object-centric Representations of Scenes et al
por: Jabri, Allan, et al.
Publicado: (2023)
por: Jabri, Allan, et al.
Publicado: (2023)
Exploring the limits of Hierarchical World Models in Reinforcement Learning
por: Schiewer, Robin, et al.
Publicado: (2024)
por: Schiewer, Robin, et al.
Publicado: (2024)
Synthetic Power Flow Data Generation Using Physics-Informed Denoising Diffusion Probabilistic Models
por: Wang, Junfei, et al.
Publicado: (2025)
por: Wang, Junfei, et al.
Publicado: (2025)
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft
por: Lenzen, Nicholas, et al.
Publicado: (2024)
por: Lenzen, Nicholas, et al.
Publicado: (2024)
Is Hierarchical Quantization Essential for Optimal Reconstruction?
por: Reyhanian, Shirin, et al.
Publicado: (2026)
por: Reyhanian, Shirin, et al.
Publicado: (2026)
DDTR: Diffusion Denoising Trace Recovery
por: Matyash, Maximilian, et al.
Publicado: (2025)
por: Matyash, Maximilian, et al.
Publicado: (2025)
Successes and Limitations of Object-centric Models at Compositional Generalisation
por: Montero, Milton L., et al.
Publicado: (2024)
por: Montero, Milton L., et al.
Publicado: (2024)
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion
por: Liu, Xueyi, et al.
Publicado: (2024)
por: Liu, Xueyi, et al.
Publicado: (2024)
Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges
por: Kosman, Eitan, et al.
Publicado: (2026)
por: Kosman, Eitan, et al.
Publicado: (2026)
Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization
por: Xue, Yuan, et al.
Publicado: (2026)
por: Xue, Yuan, et al.
Publicado: (2026)
GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models
por: Tang, Xiaohang, et al.
Publicado: (2026)
por: Tang, Xiaohang, et al.
Publicado: (2026)
Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
por: Dobhal, Umang, et al.
Publicado: (2026)
por: Dobhal, Umang, et al.
Publicado: (2026)
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
por: Rector-Brooks, Jarrid, et al.
Publicado: (2024)
por: Rector-Brooks, Jarrid, et al.
Publicado: (2024)
Preference-Guided Diffusion for Multi-Objective Offline Optimization
por: Annadani, Yashas, et al.
Publicado: (2025)
por: Annadani, Yashas, et al.
Publicado: (2025)
Slow Feature Analysis on Markov Chains from Goal-Directed Behavior
por: Schüler, Merlin, et al.
Publicado: (2025)
por: Schüler, Merlin, et al.
Publicado: (2025)
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
por: Cameron, Chris, et al.
Publicado: (2026)
por: Cameron, Chris, et al.
Publicado: (2026)
Mixed-State Quantum Denoising Diffusion Probabilistic Model
por: Kwun, Gino, et al.
Publicado: (2024)
por: Kwun, Gino, et al.
Publicado: (2024)
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model
por: Wen, Yizhu, et al.
Publicado: (2024)
por: Wen, Yizhu, et al.
Publicado: (2024)
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
por: Xu, Can, et al.
Publicado: (2024)
por: Xu, Can, et al.
Publicado: (2024)
Data-centric Federated Graph Learning with Large Language Models
por: Yan, Bo, et al.
Publicado: (2025)
por: Yan, Bo, et al.
Publicado: (2025)
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
por: Zhang, Jiawei, et al.
Publicado: (2024)
por: Zhang, Jiawei, et al.
Publicado: (2024)
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations
por: Jeon, Jinsung, et al.
Publicado: (2022)
por: Jeon, Jinsung, et al.
Publicado: (2022)
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
por: Xu, Jian, et al.
Publicado: (2024)
por: Xu, Jian, et al.
Publicado: (2024)
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations
por: Mandyam, Aishwarya, et al.
Publicado: (2021)
por: Mandyam, Aishwarya, et al.
Publicado: (2021)
Ejemplares similares
-
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison
por: Lange, Moritz, et al.
Publicado: (2023) -
Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task
por: Engelhardt, Raphael C., et al.
Publicado: (2024) -
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks
por: Lange, Moritz, et al.
Publicado: (2024) -
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
por: Oedingen, Marc, et al.
Publicado: (2024) -
Memorization Control in Diffusion Models from Denoising-centric Perspective
por: Vu, Thuy Phuong, et al.
Publicado: (2026)