Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Normalizing Flows on Riemannian Manifolds
Improving Variational Inference with Inverse Autoregressive Flow
The Generalized Reparameterization Gradient
Principal Curves on Riemannian Manifolds
Colon Flattening Using Heat Diffusion Riemannian Metric
Geodesic flow kernel for unsupervised domain adaptation
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Variational Regularization and Fusion of Surface Normal Maps
Sliced Wasserstein Kernels for Probability Distributions
Geometry of Optimization and Implicit Regularization in Deep Learning
Curvature-aware Manifold Learning
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
Building Deep Networks on Grassmann Manifolds
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds
Domain Adaptation on the Statistical Manifold
Applications of Average Geodesic Distance in Manifold learning
Wasserstein Divergence for GANs
Batch Normalization and Its Optimization Techniques : Review
Deep Variational Metric Learning
Diffusing Policies : Towards Wasserstein Policy Gradient Flows
Transport on Riemannian Manifold for Connectivity-Based Brain Decoding
handbook of combinatorial optimization the maximum clique problem .
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Cloud-Computing in Banking Influential Factors, Benefits and Risks from a Decision Maker's Perspective
Stance detection in online discussions
the 1999 eleanor clarke slagle lecture . defining lives : occupation as identity : an essay on competence , coherence , and the creation of meaning .