Yoonseong Jeong
Senior Undergraduate Student
KAIST, School of Computing
About Me
My goal is to understand the essence of intelligence through mathematical and biological lenses.
Research Interests
- Generative Models: Discrete Diffusion Language Models (DLMs), Score-based Generative Models.
- Neuroscience & AGI: Bridging Brain Science (Neural Dynamics) and Artificial General Intelligence.
- Mathematical Foundations: Information Geometry, Sampling Theory (DPM-Solver).
Selected Publications
- To be updated...
Information about recent publications will be added here soon.
Research Experience
Big Data Analytics and Learning (BigDyL) @ KAIST
Advisor: Prof. Noseong Park
- Topic: DLM acceleration.
- Details: Conducting research on accelerating Diffusion Language Models.
Brain x Machine Intelligence Lab (BMI Lab) @ KAIST
Advisor: Prof. Sang Wan Lee
- Topic: Decoding Cognitive States via Deep Neural Experimenter.
- Details: Visualized attention maps to analyze subject's cognitive decoding process. Studied the dynamics of cognitive states under One-shot and Incremental learning conditions.
Tech Stack
PythonC++RustScalaPyTorchHuggingFaceSQLLaTeX
Personal Preferences
I find inspiration in classical literature and philosophical discourse.
- Philosophy: Kant (Critique of Pure Reason), Nietzsche, Camus, Foucault.
- Literature: The Sorrows of Young Werther, The Stranger, Siddhartha, The Judgment, Status Anxiety.