Valentin De Bortoli
Generative Models · 2021–2023
A researcher in the Science corpus: 4 papers; trusts 145 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Generative Models — 70 citations into it; #1,766 of 1,956 by trust here, #1,577 by citations
- Computer Vision and Pattern Recognition — 66 citations into it
- Artificial Intelligence — 56 citations into it
- Statistical and Nonlinear Physics — 40 citations into it
- Molecular Biology — 22 citations into it
- Probabilistic & Bayesian Methods — 21 citations into it; #1,421 of 1,525 by trust here, #1,075 by citations
- Signal Processing — 18 citations into it
- Biophysics — 11 citations into it
Whom Valentin De Bortoli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yang Song
- Diederik P. Kingma
- Aapo Hyvärinen
- Geoffrey E. Hinton
- Jonathan Ho
- Stefano Ermon
- Pascal Vincent
- Yoshua Bengio
- Alex Krizhevsky
- Alex Nichol
Who trusts Valentin De Bortoli overall
- Stefano Peluchetti
- Gabriele Corso
- Namrata Anand
- Bowen Jing
- Jason Yim
- Shitong Luo
- Su Wang
- Emile Mathieu
- Tudor Achim
- Brian L. Trippe
Papers from Valentin De Bortoli's perspective
Ordered by how strongly the researchers Valentin De Bortoli trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A Continuous Time Framework for Discrete Denoising Models (2022) — 435 citations
- SE(3) diffusion model with application to protein backbone generation (2023) — 343 citations
- Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling (2021) — 746 citations
- Riemannian Score-Based Generative Modeling (2022) — 278 citations