EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion | Paper Citation Record

Observation 9eec7822-7c71-4ac7-9711-16cd4e19cb4c · outbound

This paper cites CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?

Reference 1

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Observation 9f3bc164-30e3-4e5d-bf5e-b5269be6c9eb · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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Observation d6f7cd7f-85bb-4782-a6f7-19be327ab39d · outbound

This paper cites Lumiere: A Space-Time Diffusion Model for Video Generation.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Lumiere: A Space-Time Diffusion Model for Video Generation

Reference 3

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Observation ad59ad3b-9da1-4bc0-8472-fba3994ff72c · outbound

This paper cites Efficient epistemic uncertainty estimation in regression ensemble models using pairwise-distance estimators.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Efficient epistemic uncertainty estimation in regression ensemble models using pairwise-distance estimators

Reference 4

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Observation ef5d49b2-ca5f-4802-af10-b42df251d208 · outbound

This paper cites Normalizing flow ensembles for rich aleatoric and epistemic uncertainty modeling.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Normalizing flow ensembles for rich aleatoric and epistemic uncertainty modeling

Reference 5

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Observation 8aa19fd8-2f71-4f83-927b-9714fbf4525f · outbound

This paper cites Shedding light on large generative networks: Estimating epistemic uncertainty in diffusion models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Shedding light on large generative networks: Estimating epistemic uncertainty in diffusion models

Reference 6

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Observation a1048722-d9d6-49e6-9dc9-ef88dcf3bb0f · outbound

This paper cites Random forests.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Random forests

Reference 7

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Observation 6961534b-6b38-4531-b8a8-158ed52b6739 · outbound

This paper cites Estimating Epistemic and Aleatoric Uncertainty with a Single Model.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Estimating Epistemic and Aleatoric Uncertainty with a Single Model

Reference 8

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Observation 89f89f9c-7c3b-460f-b4f7-d020fa7fad33 · outbound

This paper cites TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

Reference 9

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Observation 9f4085c3-e916-4413-a8ca-98030bd21b0c · outbound

This paper cites WAIC, but Why? Generative Ensembles for Robust Anomaly Detection.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion WAIC, but Why? Generative Ensembles for Robust Anomaly Detection

Reference 10

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Observation 0c49daf2-0ae2-4dc7-bc58-768eb0967959 · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 11

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Observation df5bf843-f923-467c-9217-985e4e1262f9 · outbound

This paper cites Decomposition of uncertainty in bayesian deep learning for efficient and risk-sensitive learning.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Decomposition of uncertainty in bayesian deep learning for efficient and risk-sensitive learning

Reference 12

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Observation f444b99c-c581-4cd4-89b1-4a0d1a1d50c2 · outbound

This paper cites Aleatory or epistemic? does it matter? Structural safety, 31(2):105–112, 2009.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Aleatory or epistemic? does it matter? Structural safety, 31(2):105–112, 2009

Reference 13

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Observation c197c6a2-0a80-4ad5-bb4b-99a7e80471ec · outbound

This paper cites Diffusion models beat gans on image synthesis.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Diffusion models beat gans on image synthesis

Reference 14

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Observation b790b647-691c-4e2d-9e3e-94dcf0864ba4 · outbound

This paper cites Uncertainty quantification for deep unrolling-based computational imaging.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Uncertainty quantification for deep unrolling-based computational imaging

Reference 15

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Observation a5929072-bea1-4b43-8d5b-148a7f467539 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 16

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Observation 7f42f828-40d4-49b0-97af-1ceedc2b2c8f · outbound

This paper cites Addressing function approximation error in actor-critic methods.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Addressing function approximation error in actor-critic methods

Reference 17

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Observation 545d299e-da7f-40e4-bb09-c3aca131aa85 · outbound

This paper cites Deep bayesian active learning with image data.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Deep bayesian active learning with image data

Reference 18

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Observation a721c607-78de-4e5f-ac2a-397050559b1c · outbound

This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Arcee's MergeKit: A Toolkit for Merging Large Language Models

Reference 19

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Observation b83c100e-70c1-47ac-b9fa-83c13a6cdc26 · outbound

This paper cites Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View

Reference 20

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Observation 2b3e9937-f986-4c2a-95cd-35ef3e5913a5 · outbound

This paper cites Towards the systematic reporting of the energy and carbon footprints of machine learning.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Towards the systematic reporting of the energy and carbon footprints of machine learning

Reference 21

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Observation 0e6798ab-7c87-47d0-825a-ab92246bbc43 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 22

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Observation b540bf94-dd6e-48db-b0f0-f0af2cb3d297 · outbound

This paper cites Denoising diffusion probabilistic models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Denoising diffusion probabilistic models

Reference 23

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Observation 67c2af31-f37a-4a4c-91ec-111bb0d62991 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Imagen Video: High Definition Video Generation with Diffusion Models

Reference 24

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Observation ab357a2a-4c9e-4199-9d77-efdbf4217de7 · outbound

This paper cites Video diffusion models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Video diffusion models

Reference 25

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Observation 7ea9a6e1-3ecd-48a3-9737-d94804058227 · outbound

This paper cites Deep Ensembles from a Bayesian Perspective.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Deep Ensembles from a Bayesian Perspective

Reference 26

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Observation ba921dd3-b3a9-4ee1-908c-602875c02346 · outbound

This paper cites Aleatory and epistemic uncertainty in probability elicitation with an example from hazardous waste management.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Aleatory and epistemic uncertainty in probability elicitation with an example from hazardous waste management

Reference 27

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Observation 349d0ac2-ac28-4482-a9a4-2e62d4e76696 · outbound

This paper cites Prodiff: Progressive fast diffusion model for high-quality text-to-speech.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Prodiff: Progressive fast diffusion model for high-quality text-to-speech

Reference 28

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Observation fa999b56-b27f-4125-99dd-918fde08c21e · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:20:54.589234Z

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Observation b67f1016-d31c-42ef-82c1-d7e560bfbcaa · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Image-to-image translation with conditional adversarial networks

Reference 30

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Observation c07d08b2-5f90-4178-a8a4-48aefefe3155 · outbound

This paper cites Adaptive mixtures of local experts.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Adaptive mixtures of local experts

Reference 31

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Observation d6a7ba56-5fb7-4180-b91e-9c668814682c · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Imagic: Text-based real image editing with diffusion models

Reference 32

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Observation 3f975437-5fac-4dad-aff7-9403ebe8478a · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017

Reference 33

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Observation 0f1cc7f4-fe24-45dd-990e-d3001ed94c53 · outbound

This paper cites Text2video-zero: Text-to-image diffusion models are zero-shot video generators.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Text2video-zero: Text-to-image diffusion models are zero-shot video generators

Reference 34

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Observation a5363601-7fdb-4720-a0fd-d498dc3c08e6 · outbound

This paper cites Auto-Encoding Variational Bayes.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Auto-Encoding Variational Bayes

Reference 35

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Observation 6e726684-e060-4352-b600-dee195b7710c · outbound

This paper cites Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning

Reference 36

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Observation 44c04bcd-a199-482e-ae5a-7004ead9f995 · outbound

This paper cites Multi- concept customization of text-to-image diffusion.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Multi- concept customization of text-to-image diffusion

Reference 37

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Observation 1cb1080e-681a-49f6-a2ba-f6ceaf9f85a5 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 38

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Observation f7a26aef-b274-4454-8f73-65befbf83bbf · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 39

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Observation f33a3ba7-310c-4bb5-a177-71c29a7e60da · outbound

This paper cites Microsoft coco: Common objects in context.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Microsoft coco: Common objects in context

Reference 40

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Observation 70051b66-f5c6-4b98-b3ea-d0c52ea3aa45 · outbound

This paper cites Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 41

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Observation 7c5efae5-9356-4766-b6b0-f2d706595111 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Instaflow: One step is enough for high-quality diffusion-based text-to-image generation

Reference 42

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Observation 6b46b6dd-dc25-4605-9827-d7fb6702e661 · outbound

This paper cites Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach

Reference 43

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Observation 95ea1531-8944-416b-afeb-960d1405093b · outbound

This paper cites Uncertainty Estimation in Autoregressive Structured Prediction.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Uncertainty Estimation in Autoregressive Structured Prediction

Reference 44

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Observation 4bc76566-de69-4bbf-8e66-015497c8341a · outbound

This paper cites Glide: Towards photorealistic image genera- tion and editing with text-guided diffusion models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Glide: Towards photorealistic image genera- tion and editing with text-guided diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:20:54.448492Z

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Observation 85777ea1-9861-4b36-89f2-1c1939577d3d · outbound

This paper cites Deep exploration via bootstrapped dqn.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Deep exploration via bootstrapped dqn

Reference 46

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This paper cites The Hidden Uncertainty in a Neural Networks Activations.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion The Hidden Uncertainty in a Neural Networks Activations

Reference 47

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Observation 5c2b8138-ecfb-4e48-8e74-1a2bedf4766e · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 48

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Observation 08c08abb-ce3a-4430-915c-771bb021613a · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion High- resolution image synthesis with latent diffusion models

Reference 49

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Observation 903cf749-f2e3-41d9-9947-db38d84a5b7e · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion U-net: Convolutional networks for biomedical image segmentation

Reference 50

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Observation cfc2385c-c273-4b10-82c7-8bd36c443358 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Photorealistic text-to-image diffusion models with deep language understanding

Reference 51

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Observation aeb4a77c-43f1-4f26-ba19-f189070973ee · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Laion- 5b: An open large-scale dataset for training next generation image-text models

Reference 52

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Observation 504d6b85-46d2-448e-a82d-9b9d419eafb2 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:20:53.601151Z

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Observation 4a86a380-86d9-4af8-8e2f-0d2a41aeaf3a · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:20:53.605753Z

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Observation 19c76c96-8b83-4561-b56d-22088e0b6a92 · outbound

This paper cites Improving Image Captioning with Better Use of Captions.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Improving Image Captioning with Better Use of Captions

Reference 55

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This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:20:53.615285Z

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Observation 448f9e59-fc2d-4bbe-beca-4af3e8ef322c · outbound

This paper cites Denoising diffusion implicit models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Denoising diffusion implicit models

Reference 57

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This paper cites High frequency matters: Uncertainty guided image compression with wavelet diffusion.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion High frequency matters: Uncertainty guided image compression with wavelet diffusion

Reference 58

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This paper cites Attention is all you need.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Attention is all you need

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:20:54.339943Z

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Observation aeecc5d2-1cce-4b67-b3dd-c85208687102 · outbound

This paper cites Reducing LLM Hallucinations using Epistemic Neural Networks.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Reducing LLM Hallucinations using Epistemic Neural Networks

Reference 60

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This paper cites Diffusers: State-of-the-art diffusion models.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Diffusers: State-of-the-art diffusion models

Reference 61

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This paper cites Epistemic uncertainty quantification for pre-trained neural networks.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Epistemic uncertainty quantification for pre-trained neural networks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:20:54.313805Z

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This paper cites Fast Diffusion Model.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Fast Diffusion Model

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:20:53.649119Z

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Observation c7b20cae-2056-49c3-a662-4c371684fa9d · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T20:20:53.653972Z

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Observation 63b2d294-854e-446c-ade7-2d5a6420407c · outbound

This paper cites Segmoe: Segmind mixture of diffusion experts.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Segmoe: Segmind mixture of diffusion experts

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:20:54.287359Z

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Observation 2a55c790-0e2b-4c49-8aff-398d8087f40b · outbound

This paper cites One-step diffusion with distribution matching distillation.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion One-step diffusion with distribution matching distillation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:20:53.662881Z

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Observation ae098748-550f-497d-8b39-6a3e753976a3 · outbound

This paper cites Efficient deweahter mixture-of-experts with uncertainty-aware feature-wise linear modulation.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Efficient deweahter mixture-of-experts with uncertainty-aware feature-wise linear modulation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:20:54.258623Z

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Observation 822d266c-8880-49d8-9a55-5c9d241c22cf · outbound

This paper cites cinematic , portrait , photograph , instagram , fashion , movie , macro shot , 8K , RAW , hyperrealistic , ultra realistic ,.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion cinematic , portrait , photograph , instagram , fashion , movie , macro shot , 8K , RAW , hyperrealistic , ultra realistic ,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:20:54.242034Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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