Bernie Wang
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (64)
🔥
Unstoppable · Bronze
📈
Trend Setter
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(7)
Artificial Intelligence
(5)
Core AI
(4)
Core Methods
(4)
Optimization & Theory
(4)
Data Science & Analytics
(3)
Application Areas
(3)
Architectures
(3)
Learning Types
(3)
Methods
(3)
Models
(2)
Natural Language Processing
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Keywords
time series forecasting
(3)
probabilistic forecasting
(3)
time series
(2)
domain generalization
(1)
domain adaptation
(1)
ensemble learning
(1)
regularization
(1)
pretraining
(1)
pre-trained model
(1)
quantile regression
(1)
autoregressive model
(1)
variance reduction
(1)
distribution shift
(1)
interpolation
(1)
state space model
(1)
uncertainty quantification
(1)
recurrent neural network
(1)
foundation model
(1)
variational inference
(1)
online learning
(1)
Papers
Efficient Table Retrieval and Understanding with Multimodal Large Language Models
EACL 2026
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
AISTATS 2025
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
AISTATS 2025
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICML 2025
Gradient-Free Generation for Hard-Constrained Systems
ICLR 2025
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
ICML 2024
Transferring Knowledge From Large Foundation Models to Small Downstream Models
ICML 2024
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
ICML 2024
AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting
AutoML 2023
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
ICML 2023
Graph-Relational Domain Adaptation
ICLR 2022
Deep Explicit Duration Switching Models for Time Series
NeurIPS 2021
Probabilistic Forecasting: A Level-Set Approach
NeurIPS 2021