Tianxiang Gao

4 papers · 2020–2025 · 3 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

ICLR (2) AAAI (1) NeurIPS (1)

Top co-authors

Hongyang Gao (3) Hailiang Liu (3) Siyuan Sun (1) Hridesh Rajan (1) Jia Liu (1) Junier Oliva (1) Yang Li (1) Xiaokai Huo (1)

Research topics

Deep Learning (3) Machine Learning (3) Optimization & Theory · Machine Learning (2) Artificial Intelligence (1) Mathematics & Optimization (1) Architectures (1) Core AI (1) Core Methods (1) Learning Types (1) Mathematics (1) Models (1) Optimization & Theory · Deep Learning (1)

Keywords

gradient descent (2) global convergence (2) gaussian process (1) novelty detection (1) generative model (1) relu activation (1) neural ordinary differential equation (1) implicit neural network (1) latent space (1) activation function (1) infinite width (1) non-parametric method (1) flow model (1) overparameterized regime (1) kernel methods (1) neural network (1) neighborhood information (1) neural tangent kernel (1) deep equilibrium (1) contrastive learning (1)

Papers

Global Convergence in Neural ODEs: Impact of Activation Functions ICLR 2025 Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models NeurIPS 2023 A global convergence theory for deep ReLU implicit networks via over-parameterization ICLR 2022 A Forest from the Trees: Generation through Neighborhoods AAAI 2020