Stefan Zohren
10 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (37) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (8)
π
Renaissance Researcher
(7)
ποΈ
Keyword Collector
(61)
π
Century Club
(10)
β‘
Prolific Year
(5)
Conferences
AAAI (2)
ACL (2)
NAACL (2)
COLING (1)
ICML (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
time series forecasting
(2)
large language model
(2)
continual learning
(2)
sequence modeling
(1)
catastrophic forgetting
(1)
multi-task learning
(1)
variational inference
(1)
temporal modeling
(1)
text representation
(1)
transfer learning
(1)
unsupervised clustering
(1)
temporal reasoning
(1)
social media analysis
(1)
question answering
(1)
text analysis
(1)
neural network training
(1)
disease surveillance
(1)
time series
(1)
reinforcement learning
(1)
causal inference
(1)
Papers
Unlocking the Power of LSTM for Long Term Time Series Forecasting
AAAI 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
ACL 2025
Stories that (are) Move(d by) Markets: A Causal Exploration of Market Shocks and Semantic Shifts across Different Partisan Groups
ACL 2025
Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs
COLING 2025
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
ICML 2025
Time Machine GPT
NAACL 2024
Same State, Different Task: Continual Reinforcement Learning without Interference
AAAI 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
JMLR 2022
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts
NAACL 2022
Hierarchical Indian buffet neural networks for Bayesian continual learning
UAI 2021