Nate Gillman

4 papers · 2022–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ACL (1) CVPR (1) ICLR (1) ICML (1)

Top co-authors

Michael Freeman (3) Daksh Aggarwal (3) Chen Sun (3) Carsten Eickhoff (1) William Rudman (1) Chia-Hong Hsu (1) Calvin Luo (1) Yonglong Tian (1) Yinghua Zhou (1) Taylor Rayne (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Core Methods (2) Learning Types (2) Computer Vision (1) Deep Learning (1) Natural Language Processing (1) Bayesian & Probabilistic (1) Core AI (1) Generation (1) Models (1) Optimization & Theory (1) Resources & Methods (1)

Keywords

sequence modeling (1) embedding space (1) video generation (1) human motion synthesis (1) probability distribution (1) time series forecasting (1) vector space (1) synthetic data (1) model collapse (1) zero-shot generalization (1) world model (1) decision transformer (1) fourier series (1) word embedding (1) cosine similarity (1) embedding analysis (1) expert knowledge (1) uniform distribution (1) correction function (1) physics simulator (1)

Papers

Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals CVPR 2026 Fourier Head: Helping Large Language Models Learn Complex Probability Distributions ICLR 2025 Self-Correcting Self-Consuming Loops for Generative Model Training ICML 2024 IsoScore: Measuring the Uniformity of Embedding Space Utilization ACL 2022