Xiajun Jiang

5 papers · 2023–2024 · 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 🚀 Conference Pioneer

Venues

ICLR (3) MICCAI (1) NeurIPS (1)

Top co-authors

Linwei Wang (5) Ryan Missel (3) Zhiyuan Li (2) Nilesh Kumar (2) Maryam Toloubidokhti (2) Yubo Ye (2) Ruby Shrestha (1) Huafeng Liu (1) Sumeet Vadhavkar (1) Jon Heiselman (1)

Research topics

Deep Learning (4) Machine Learning (4) Models (4) Artificial Intelligence (3) Core Methods (3) Learning Paradigms · Artificial Intelligence (3) Optimization & Theory (2) Learning Paradigms · Machine Learning (1) Learning Types (1)

Keywords

variational inference (2) unsupervised learning (1) representation learning (1) continual learning (1) multi-task learning (1) few-shot learning (1) neural network optimization (1) parameter inference (1) time series forecasting (1) parameter identifiability (1) generative model (1) latent variable model (1) disentangled representation (1) physics-informed neural network (1) partial differential equation (1) hybrid generative model (1) physics-based model (1) bayesian meta-learning (1) hybrid deep generative model (1) physics-based inductive bia (1)

Papers

DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks ICLR 2024 LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration MICCAI 2024 On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NeurIPS 2024 Continual Unsupervised Disentangling of Self-Organizing Representations ICLR 2023 Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting ICLR 2023