I am doing some research on machine learning algorithms in the context of a seminar, which focuses on Energy-Based Modeling vs Deep Learning Modeling specifically in working with images. Now I know these are broad topics, but I was wondering what some specific similarities and differences are. I have read countless papers that say "EBMs have properties that make them better than DL in certain tasks" but I haven't really found a comprehensive motivation

  • What is the problem that EBM is solving compared to DL?
  • Why are we doing this?

I hope this is the right site for this question (I also checked theoretical CS), This brought me here.

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  • $\begingroup$ A new introductory article about EBMs by relevant researchers just came out, maybe you are interested: arxiv.org/abs/2101.03288 . At least I find the docs on modern EBMs somewhat lacking. $\endgroup$ – ncasas Jan 13 at 10:02
  • $\begingroup$ Also, you may find this article relevant to your question: arxiv.org/abs/1912.03263 . They reinterpret deep learning classifiers as EBMs. $\endgroup$ – ncasas Jan 13 at 10:04
  • $\begingroup$ Thanks for the paper suggestions! I've already seen the second one and found it quite interesting because I found that it highlights the connections quite well. Somehow still missing what specific tasks deep learning can't do. Will check out the first paper now $\endgroup$ – dohm Jan 13 at 11:14

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