Stefan Zohren
10 papers · 2021–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (67) 🌈 Renaissance Researcher (5)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(6)
Learning Types
(6)
Optimization & Theory · Machine Learning
(5)
Data Science & Analytics
(4)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Core AI
(3)
Methods
(3)
Application Areas
(2)
Applications
(2)
Architectures
(2)
Core Methods
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
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
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
Stories that (are) Move(d by) Markets: A Causal Exploration of Market Shocks and Semantic Shifts across Different Partisan Groups
ACL 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
ACL 2025
Unlocking the Power of LSTM for Long Term Time Series Forecasting
AAAI 2025
Time Machine GPT
NAACL 2024
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts
NAACL 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
JMLR 2022
Same State, Different Task: Continual Reinforcement Learning without Interference
AAAI 2022
Hierarchical Indian buffet neural networks for Bayesian continual learning
UAI 2021