conftrace_

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72 papers

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Co-occurring keywords

variational inference (2069) recurrent neural network (1790) hidden markov model (302) time series (435) variational autoencoder (1288) disentangled representation (521) representation learning (6206) latent variable model (564) bayesian nonparametrics (270) signature kernel (8)

Papers

Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era IJCAI 2025
Online Quantile Regression JMLR 2025
GG-SSMs: Graph-Generating State Space Models CVPR 2025
Algorithmic Foundation of Federated Learning with Sequential Data AAAI 2024
Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling EACL 2024
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown ICML 2023
Revisiting Structured Variational Autoencoders ICML 2023
Non-adversarial training of Neural SDEs with signature kernel scores NIPS 2023
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling AAAI 2023
Max Markov Chain IJCAI 2023
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning AAAI 2023
A New Modeling Framework for Continuous, Sequential Domains AISTATS 2023
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing WACV 2023
Temporally Disentangled Representation Learning NIPS 2022
Are GANs overkill for NLP? NIPS 2022
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking NIPS 2022
Distribution Regression for Sequential Data AISTATS 2021
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory JMLR 2021
Online Variational Filtering and Parameter Learning NIPS 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data ICML 2021
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks AAAI 2021
Variational Inference for Sequential Data with Future Likelihood Estimates ICML 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions ICML 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020
An efficient representation of chronological events in medical texts EMNLP 2020