Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning | Paper Citation Record

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This paper cites In: International Conference on Learning Representations.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: International Conference on Learning Representations

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This paper cites In: Proceed- ings of the AAAI conference on artificial intelligence.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Proceed- ings of the AAAI conference on artificial intelligence

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning com/papers/dall-e-3.pdf, accessed: July 22, 2026

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This paper cites In: International Conference on Learning Represen- tations.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: International Conference on Learning Represen- tations

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This paper cites Finance and Stochastics13(4), 613–633 (Sep 2009).https://doi.org/10.1007/s00780-009-0098-8,http://link.springer.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Finance and Stochastics13(4), 613–633 (Sep 2009).https://doi.org/10.1007/s00780-009-0098-8,http://link.springer

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This paper cites In: The Eleventh International Con- ference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: The Eleventh International Con- ference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023

Reference 6

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This paper cites Training Verifiers to Solve Math Word Problems.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Training Verifiers to Solve Math Word Problems

Reference 7

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This paper cites Probability and its Applications, Springer New York, New York, NY (2004).https://doi.org/10.1007/978-1-4684-9393- 1,http://link.springer.com/10.1007/978-1-4684-9393-1.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Probability and its Applications, Springer New York, New York, NY (2004).https://doi.org/10.1007/978-1-4684-9393- 1,http://link.springer.com/10.1007/978-1-4684-9393-1

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This paper cites Emerging Properties in Unified Multimodal Pretraining.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Emerging Properties in Unified Multimodal Pretraining

Reference 9

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This paper cites Statistics and Computing31(6), 81 (2021).

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Statistics and Computing31(6), 81 (2021)

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This paper cites In: Forty-first international conference on machine learning (2024) Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning 17.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Forty-first international conference on machine learning (2024) Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning 17

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Reference 12

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This paper cites Advances in neural information processing systems14(2001).

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in neural information processing systems14(2001)

Reference 13

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This paper cites Advances in Neural Information Processing Systems36, 52132–52152 (2023).

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in Neural Information Processing Systems36, 52132–52152 (2023)

Reference 14

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This paper cites In: IEEE/CVF Winter Conference on Appli- cations of Computer Vision, WACV 2026, Tucson, AZ, USA, March 6-10, 2026.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: IEEE/CVF Winter Conference on Appli- cations of Computer Vision, WACV 2026, Tucson, AZ, USA, March 6-10, 2026

Reference 15

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This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in neural information processing systems33, 6840–6851 (2020)

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This paper cites In: Artificial intelligence and statistics.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Artificial intelligence and statistics

Reference 17

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This paper cites CoRRabs/2512.16853(2025).https://doi.org/10.48550/ARXIV.2512.16853, https://doi.org/10.48550/arXiv.2512.16853.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning CoRRabs/2512.16853(2025).https://doi.org/10.48550/ARXIV.2512.16853, https://doi.org/10.48550/arXiv.2512.16853

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This paper cites In: Dasgupta, S., McAllester, D.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Dasgupta, S., McAllester, D

Reference 19

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This paper cites Advances in Neural Information Processing Systems38, 30830–30864 (2026).

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in Neural Information Processing Systems38, 30830–30864 (2026)

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This paper cites Advances in neural information processing systems36, 36652–36663 (2023).

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in neural information processing systems36, 36652–36663 (2023)

Reference 21

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This paper cites Dynamic Search for Inference-Time Alignment in Diffusion Models.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Dynamic Search for Inference-Time Alignment in Diffusion Models

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Belgrave, D., Zhang, C., Montoya, L.N., Lin, H., Pascanu, R., Koniusz, P., Ghassemi, M., Chen, N., Ruíz, I.V.M., Loaiza-Bonilla, A

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: The Eleventh International Conference on Learning Rep- resentations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023

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This paper cites In: The Eleventh International Conference on Learn- ing Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: The Eleventh International Conference on Learn- ing Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S

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This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning OpenAI GPT-5 System Card

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in Neural Information Processing Systems38, 13170–13216 (2026)

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: The Twelfth International Conference on Learning Represen- tations, ICLR 2024, Vienna, Austria, May 7-11, 2024

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in Neural Information Processing Systems38, 87284–87317 (2026)

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Singh, A., Fazel, M., Hsu, D., Lacoste-Julien, S., Berkenkamp, F., Maharaj, T., Wagstaff, K., Zhu, J

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in Neural Information Processing Systems35, 9460–9471 (2022)

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: 9th Inter- national Conference on Learning Representations, ICLR 2021, Virtual Event, Aus- tria, May 3-7, 2021

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: 9th Inter- national Conference on Learning Representations, ICLR 2021, Virtual Event, Aus- tria, May 3-7, 2021

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Singh, A., Fazel, M., Hsu, D., Lacoste-Julien, S., Berkenkamp, F., Maharaj, T., Wagstaff, K., Zhu, J

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in neural information processing systems36, 75993–76005 (2023)

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in Neural Infor- mation Processing Systems36, 31372–31403 (2023)

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in Neural Information Processing Systems36, 15903–15935 (2023)

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: 2025 IEEE/CVF Winter Conference on Ap- plications of Computer Vision (WACV)

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in Neural Information Processing Systems35, 20744–20757 (2022)

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Advances in neural information processing systems36, 11809–11822 (2023)

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning In: Proceedings of the IEEE/CVF international conference on computer vision

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Unresolved cited work

Reference 54

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Observation 474f0044-868e-439f-969c-9c14d888d5d9 · outbound

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Unresolved cited work

Reference 55

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Observation f85b62b6-4b25-40be-abab-426691062343 · outbound

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Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Unresolved cited work

Reference 56

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Observation 025bb381-6f79-46b7-9e4d-21683a7c4c44 · outbound

This paper cites an unresolved cited work.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning Unresolved cited work

Reference 57

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Observation b6b3d894-53e9-45bd-b732-a2872a94ba72 · outbound

This paper cites a photo of a cow left of a stop sign.

Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning a photo of a cow left of a stop sign

Reference 58

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