Bernie Wang
13 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(10)
🔥
Unstoppable
(5)
💎
Century Club
(12)
Conferences
ICML (5)
AISTATS (2)
ICLR (2)
NIPS (2)
AUTOML (1)
EACL (1)
Top co-authors
Keywords
probabilistic forecasting
(3)
time series
(2)
time series forecasting
(2)
variance reduction
(1)
state-space model
(1)
recurrent neural network
(1)
multimodal large language model
(1)
table understanding
(1)
table retrieval
(1)
random forest
(1)
automated machine learning
(1)
monte carlo
(1)
switching dynamical system
(1)
answer generation
(1)
stacked generalization
(1)
visual-text foundation model
(1)
quantile forecast
(1)
variational inference
(1)
point forecast
(1)
ensemble learning
(1)
Papers
Efficient Table Retrieval and Understanding with Multimodal Large Language Models
EACL 2026
Gradient-Free Generation for Hard-Constrained Systems
ICLR 2025
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
AISTATS 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
AISTATS 2025
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICML 2025
Transferring Knowledge From Large Foundation Models to Small Downstream Models
ICML 2024
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
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
Probabilistic Forecasting: A Level-Set Approach
NIPS 2021
Deep Explicit Duration Switching Models for Time Series
NIPS 2021