Co-occurring keywords · papers mentioning both
Papers
Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates
ICCV 2025
Unifying Causal Representation Learning with the Invariance Principle
ICLR 2025
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat
EMNLP 2025
When do neural networks learn world models?
ICML 2025
αTC-VAE: On the relationship between Disentanglement and Diversity
ICLR 2024
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
AAAI 2024
Autoencoding Conditional Neural Processes for Representation Learning
ICML 2024
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
ICLR 2024
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
ICLR 2024
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis
NeurIPS 2024
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
ICLR 2024
Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling
IJCAI 2024
Causal Effect Identification in a Sub-Population with Latent Variables
NeurIPS 2024
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
ICLR 2024
Disentangled Representation Learning in Non-Markovian Causal Systems
NeurIPS 2024
Disentanglement Learning via Topology
ICML 2024
Disentangling Linear Quadratic Control with Untrusted ML Predictions
NeurIPS 2024
EM for Mixture of Linear Regression with Clustered Data
AISTATS 2024
Estimating Bounds on Causal Effects Considering Unmeasured Common Causes
PGM 2024
Estimating Unknown Population Sizes Using the Hypergeometric Distribution
ICML 2024
Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios
ACL 2024
Federated Neuro-Symbolic Learning
ICML 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
ICML 2024
From Causal to Concept-Based Representation Learning
NeurIPS 2024
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
JMLR 2024