M. Trosset

Representation & Self-Supervised Learning · 2001–2025

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 7 citations into it

Whom M. Trosset trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Joseph B. Kruskal
2. Hayden S. Helm
3. Brandon Duderstadt
4. Zach Nussbaum

Who trusts M. Trosset overall

1. Hoshin V. Gupta
2. Jasper A. Vrugt
3. Keith Beven
4. Thorsten Wagener
5. Wei Gong
6. Yuqiong Liu
7. Florian Pappenberger
8. Mojtaba Sadegh
9. G. Schoups
10. Bryan Tolson

Papers from M. Trosset's perspective

Ordered by how strongly the researchers M. Trosset trusts endorse each paper. Same corpus, a different order for every researcher.

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. Multitask Prompted Training Enables Zero-Shot Task Generalization
3. Make-A-Video: Text-to-Video Generation without Text-Video Data
4. Modern Multidimensional Scaling: Theory and Applications
5. Deep Voice: Real-time Neural Text-to-Speech (International Conference on Machine Learning)
6. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
7. VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance
8. GraSPy: Graph Statistics in Python
9. Nomic Embed: Training a Reproducible Long Context Text Embedder (Trans. Mach. Learn. Res.)
10. Planning with Large Language Models for Code Generation

Their papers

• Convergence Guarantees for Response Prediction for Latent Structure Network Time Series (2025)
• Consistent estimation of generative model representations in the data kernel perspective space (2024)
• Bayesian recursive parameter estimation for hydrologic models (2001) — 463 citations