Elamur Research⌕
☰
home / authors / Marc Finzi

Marc Finzi

Marc Finzi has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining; often with Alexander Robey, Andrew Gordon Wilson, Avi Schwarzschild.

2 papers in our library · 2023–2025

OpenAlex · h-index 10 · 31 works · 582 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 98 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5931

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Carnegie Mellon UniversityPittsburgh · United States2023–2026 · 8 paperscurrent🎓New York UniversityNew York · United States2019–2023 · 13 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksDecision Sciences · 1 workManagement Science and Operations Research · 1 workSignal Processing · 1 workArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models Are Zero-Shot Time Series Forecasters (2023 · 268 citations)
    Time series forecasting has lacked large-scale pretraining. Data come from very different sources and scales, values are often missing, and no standard self-supervised objective exists. As a result, simple methods such as ARIMA frequently beat deep networks. Gruver, Finzi, Qiu and Wilson propose LLMTime, which writes…
  2. Antidistillation Sampling (2025 · 9 citations)
    Reasoning models that expose their full chains of thought give competitors cheap training data. Another model can be distilled from these traces and inherit much of the original's capability, and safety behaviour may not carry over. The authors propose antidistillation sampling, a decoding-time defence. At each step…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Large Language Models Are Zero-Shot Time Series ForecastersConference on Neural Information Processing Systems (NeurIPS)Nate Gruver, Marc Finzi, Shikai Qiu, et al.2023 · 268 citations
  2. A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups ↗arXiv (Cornell University) · no summary yetMarc Finzi, Max Welling, Andrew Gordon Wilson2021 · 35 citations
  3. Probabilistic Numeric Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetMarc Finzi, Roberto Bondesan, Max Welling2020 · 10 citations
  4. Antidistillation SamplingConference on Neural Information Processing Systems (NeurIPS)Yash Savani, Asher Trockman, Zhili Feng, et al.2025 · 9 citations

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 98 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/marc-finzi/