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何恺明团队新作:扩散模型可能被用错了
3 6 Ke· 2025-11-19 11:22
何恺明又一次返璞归真。 最新论文直接推翻扩散模型的主流玩法——不让模型预测噪声,而是直接画干净图。 如果你熟悉何恺明的作品,会发现这正是他创新的典型路径,不提出更复杂的架构,而是把问题拆回最初的样子,让模型做它最擅长的那件事。 实际上,扩散模型火了这么多年,架构越做越复杂,比如预测噪声、预测速度、对齐latent、堆tokenizer、加VAE、加perceptual loss…… 但大家似乎忘了,扩散模型原本就是去噪模型。 现在这篇新论文把这件事重新摆上桌,既然叫denoising模型,那为什么不直接denoise? 于是,在ResNet、MAE等之后,何恺明团队又给出了一个"大道至简"的结论:扩散模型应该回到最初——直接预测图像。 扩散模型可能被用错了 当下的主流扩散模型,虽然设计思想以及名为"去噪",但在训练时,神经网络预测的目标往往并不是干净的图像,而是噪声, 或者是一个混合了图像与 噪声的速度场。 实际上,预测噪声和预测干净图差得很远。 根据流形假设,自然图像是分布在高维像素空间中的低维流形上的,是有规律可循的干净数据;而噪声则是均匀弥散在整个高维空间中的,不具备这种低 维结构。 简单理解就是,把高 ...
秤砣不坏(金台随感)
Ren Min Ri Bao· 2025-07-18 21:54
Core Viewpoint - The articles emphasize the importance of simplicity and durability in design and functionality, using the metaphor of a "weight" that remains intact over time to illustrate the value of straightforward, reliable solutions in modern life [1][2][3] Group 1: Simplicity in Design - The concept of "秤砣不坏" (the weight does not break) highlights that simple structures are more durable compared to complex ones, which tend to fail more easily [1][2] - Modern products, such as toilets and cars, have become increasingly complex, leading to higher maintenance costs and potential failures during critical moments [1][2] - The articles advocate for a return to simplicity in product design, focusing on core functionalities rather than unnecessary features [2][3] Group 2: Practicality and Reliability - The discussion points out that true effectiveness often lies in straightforward solutions, which are more reliable and easier to maintain [3] - The notion of "大道至简" (the great way is simple) suggests that achieving goals should not involve convoluted processes or excessive embellishments [2][3] - The articles encourage a mindset that prioritizes essential functions and durability over complexity, which can lead to waste and inefficiency [1][2][3]
期货交易最终目的是什么?(发人深省,值得收藏)
Sou Hu Cai Jing· 2025-06-07 01:58
Core Insights - The essence of futures trading is to pursue simplicity, as complexity can lead to instability in a market that is already intricate [1][3][12] Group 1: Simplicity in Trading - Achieving simplicity in trading requires a certain level of understanding and self-awareness, which is a challenging process [3] - Successful traders maintain a distance from the market, ensuring they are neither too close nor too far [4] - Emotional interference must be eliminated to enhance the chances of success, and the focus should not solely be on trading [4] Group 2: Technical Simplification - Technical analysis should be simplified, avoiding complex software and excessive information [5] - The process of trading should involve reducing unnecessary elements, which leads to a deeper understanding of the market [5] - Self-discipline and awareness of personal limits are crucial traits of successful traders [5] Group 3: System Complexity and Errors - A trading system that is overly complex can lead to execution difficulties and poor fault tolerance [7][9] - The belief that adding more conditions to a trading system increases accuracy is a misconception, as market movements are inherently unpredictable [7][10] Group 4: Investment Philosophy - The principle of "大道至简" (the greatest path is the simplest) emphasizes that valuable insights are often the most straightforward [10] - Successful investors, like Warren Buffett, focus on risk avoidance and capital preservation as the core of their trading strategy [10][12] - Many investors overlook the importance of managing risk, leading to significant losses, while seasoned traders prioritize capital protection for reasonable returns [12]