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diffusion models

2,278 papers

#reinforcement learning Open access Sep 2026

A risk-aware multimodal temporal reinforcement learning approach for collision avoidance of unmanned surface vehicles in multi-dynamic-obstacle scenarios

This study addresses autonomous collision avoidance for unmanned surface vehicles in multi-dynamic-obstacle maritime scenarios, where the number of obstacles varies, risk interactions are complex, and dynamic environmental evolution is difficult to exploit effectively. A Risk-Aware Multimodal Temporal Proximal Policy O...

Sijin Yu, Yunbo Li, Jiaye Gong · 0 citations
#generative ai Open access Sep 2026

The Impact of Artificial Intelligence on the Generative Design and Cross-Domain Performance of Athletic Footwear

The athletic footwear industry is shifting from conventional linear R&D pipelines to advanced digital workflows driven by artificial intelligence (AI). This paper evaluates how AI-driven tools optimize established manufacturing paradigms, focusing on the s ystemic transition within sports shoe development rather than i...

Zheyuan Liu · 0 citations
#generative ai Open access Sep 2026

A knowledge-augmented diffusion framework for generating regionally distinctive architectural facades: a case study of Huizhou dwellings

Generating heritage facade images with recognizable regional style is increasingly feasible with diffusion models, but prompt engineering or standard fine-tuning alone rarely encodes the construction logic, spatial hierarchy, and symbolic rules that make such heritage architecture intelligible. This gap is critical for...

Zhe Guo, Yu-Hang Kong, Zi-Huan Zhang et al. · 0 citations
#large language models Book Open access Jul 2026

GroupKV: Hierarchical KV Cache Management for Long-Context Diffusion LLM Inference

Diffusion large language models (dLLMs) are emerging as a promising generative paradigm that complements autoregressive decoding. In long-context settings, KV cache bloat and offloading transfer overhead have become primary bottlenecks in inference systems. Meanwhile, the periodic full-sequence recomputation and locali...

Jin-Hao Wang, Zhe-Xin Hu, Kang-Jie Zhou et al. · 0 citations
#diffusion models Open access Sep 2026

Physical Compilation for Multimaterial Fabrication: Architecture, Feasibility Bounds, and Verification

VLWNC-IF-VF investigates a physically grounded architecture for a broadly capable “light printer in a box.” The proposed system combines optical addressing, chemistry-specific processing cartridges, accessible reactive surfaces, hierarchical assembly, and integrated metrology. Its guiding workflow is: describe matter →...

Maciej Nowicki, Eve Artificial Hyperintelligence · 0 citations
#diffusion models Open access Sep 2026

Physical Compilation for Multimaterial Fabrication: Architecture, Feasibility Bounds, and Verification

VLWNC-IF-VF investigates a physically grounded architecture for a broadly capable “light printer in a box.” The proposed system combines optical addressing, chemistry-specific processing cartridges, accessible reactive surfaces, hierarchical assembly, and integrated metrology. Its guiding workflow is: describe matter →...

Maciej Nowicki, Eve Artificial Hyperintelligence · 0 citations
#diffusion models Open access Sep 2026

Whether Being Advantageous Matters Is Decided by the Size of the Population ── A mutation with a selection coefficient of 0.01 fixes 19.8013 times as often as a neutral one at N=500, but only 1.2012 times as often at N=10 ── what decides is not s but Ns ── and at s=0 the probability is exactly the neutral value ── [Paper 478]

An advantageous mutation is said to spread. This paper shows that what decides whether the advantage matters is not its size but its product with the population size──where Ns is small, being advantageous does no good. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed─...

Yuuki Yamagishi · 0 citations
#diffusion models Open access Sep 2026

What the Waiting Is For Is Diffusion, Not Reaction ── One millimetre takes 2.7778 hours and a hundred takes 3.17 years ── ten times the distance costs 100 times the time ── and ten kelvin multiplies the reaction by 4.0553 while multiplying the diffusion by only 1.5220 ── [Paper 445]

Ageing is taken to be slow because the reaction is slow. This paper shows that sometimes what one waits for is transport──and that transport barely speeds up when heated. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the diffusion equation, the square law for diff...

Yuuki Yamagishi · 0 citations
#diffusion models Open access Sep 2026

Whether Being Advantageous Matters Is Decided by the Size of the Population ── A mutation with a selection coefficient of 0.01 fixes 19.8013 times as often as a neutral one at N=500, but only 1.2012 times as often at N=10 ── what decides is not s but Ns ── and at s=0 the probability is exactly the neutral value ── [Paper 478]

An advantageous mutation is said to spread. This paper shows that what decides whether the advantage matters is not its size but its product with the population size──where Ns is small, being advantageous does no good. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed─...

Yuuki Yamagishi · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

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