Mingtian Zhang

13 papers · 2020–2026 · 5 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (5) 🗺️ Taxonomy Completionist (33) 🧬 Topic Evolution 💎 Century Club (13) 🗃️ Keyword Collector (56) 📈 Trend Setter 🔥 Unstoppable (7)

Conferences

NIPS (6) ICML (3) AISTATS (2) ICLR (1) WACV (1)

Top co-authors

David Barber (7) Andi Zhang (3) Peter Hayes (3) Steven McDonagh (3) José Miguel Hernández-Lobato (2) Wenlin Chen (2) Brooks Paige (2) Damon Wischik (1) Alex Hawkins-Hooker (1) Jiajun He (1)

Keywords

spread divergence (2) probabilistic model (2) lossless compression (2) probabilistic modeling (2) manifold learning (1) density estimation (1) sequence modeling (1) facial animation (1) knowledge transfer (1) gaussian splatting (1) probability distribution (1) intrinsic dimension (1) gibbs sampling (1) independent components analysis (1) moment matching (1) amortized inference (1) adversarial attack (1) generative model (1) optimal transport (1) catastrophic forgetting (1)

Papers

GaussianHeadTalk: Wobble-Free 3D Talking Heads with Audio Driven Gaussian Splatting WACV 2026

Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching ICLR 2025

Training Neural Samplers with Reverse Diffusive KL Divergence AISTATS 2025

Active Preference Learning for Large Language Models ICML 2024

Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling NIPS 2024

Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective NIPS 2024

Diffusive Gibbs Sampling ICML 2024

Spread Flows for Manifold Modelling AISTATS 2023

Moment Matching Denoising Gibbs Sampling NIPS 2023

Generalization Gap in Amortized Inference NIPS 2022

On the Out-of-distribution Generalization of Probabilistic Image Modelling NIPS 2021

AFEC: Active Forgetting of Negative Transfer in Continual Learning NIPS 2021

Spread Divergence ICML 2020