Krzysztof Kacprzyk
9 papers · 2022–2025 · 4 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Core AI
(8)
Learning Types · Machine Learning
(4)
Core Methods
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Application Areas
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
symbolic regression
(4)
ordinary differential equation
(3)
scientific discovery
(2)
causal inference
(2)
dynamical system
(2)
feature interaction
(1)
distribution shift
(1)
continuous optimization
(1)
noisy observation
(1)
inductive bia
(1)
time series forecasting
(1)
complexity measure
(1)
generalized additive model
(1)
equation discovery
(1)
scientific machine learning
(1)
interactive visualization
(1)
partial differential equation
(1)
variational formulation
(1)
performance degradation
(1)
model interpretability
(1)
Papers
Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression
AISTATS 2025
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs
ICLR 2025
Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data
ICML 2025
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
ICLR 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
NeurIPS 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations
AISTATS 2024
Towards Transparent Time Series Forecasting
ICLR 2024
D-CIPHER: Discovery of Closed-form Partial Differential Equations
NeurIPS 2023
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
ICLR 2022