Don't give up on older stuff just because deep learning went in a different direction. It's a perfect time to recombine the new with the old. I started DuckDuck

Don't give up on older stuff just because deep learning went in a different direction. It's a perfect time to recombine the new with the old. I started DuckDuckGoing and found combinations of ("deep learning" or "neural networks") with ("gaussian," "clustering," "support vector machines," "markov," "probabilistic graphical models"). I haven't actually read these to see if they achieved anything. I'm just sharing the results from a quick search in your sub-field in case it helps you PGM folks. https://arxiv.org/abs/2104.12053 https://arxiv.org/abs/2104.12053 https://pmc.ncbi.nlm.nih.gov/articles/PMC7831091/ https://pmc.ncbi.nlm.nih.gov/articles/PMC7831091/ And here's an intro for those wondering what PGM is: https://arxiv.org/abs/2507.17116 https://arxiv.org/abs/2507.17116