Henrik Abgaryan

Bio

Hi I am a PhD Student at Lamsade LAB, PSL Dauphine, Paris, France.

I am researching advanced machine learning techniques on NP-Hard combinatorial optimization problems. I specialize in advancing machine learning techniques to tackle NP-hard combinatorial optimization challenges. My background spans text-to-image synthesis, extensive R&D endeavors, teaching responsibilities, and industry roles in deep learning.

Supervisors:

Tristan Cazenave (tristan.cazenave@lamsade.dauphine.fr)
Ararat Harutyunyan (ararat.harutyunyan@lamsade.dauphine.fr)

2023 - Present

Publications

Randomized Greedy Sampling for JSSP
H. Abgaryan, T. Cazenave
The 18th Learning and Intelligent Optimization Conference, 2025. [PDF]
LLMs can Schedule
H. Abgaryan, A. Harutyunyan, T. Cazenave
arXiv preprint arXiv:2408.06993, 2024. [PDF]
House Allocation with Randomly Generated Preference Lists
H. Abgaryan, A. Harutyunyan, T.N. Le
2022. [PDF]
STARJOB: Dataset for LLM-Driven Job Shop Scheduling
H. Abgaryan, A. Harutyunyan, T. Cazenave
2023. [PDF]

Talks

Presented Randomized Greedy Search for JSSP at the 18th Learning and Intelligent Optimization Conference
June 11, 2024 | Ischia, Italy
Speaker at Lamsade Doctoral Spring School
École du Luat, Écouen-Ezanville, France

Work Experience

Curent PhD student in Paris Dauphine PSL
Working on intersection of Combinatorial Optimization and AI
2023 - currently

PICSART
Machine Learning Scientist at Artificial Intelligence Department
2021 - 2023

Over 35 projects in production and over 10 in R&D.
Working on Text-to-Image Synthesis, Image to Image Synthesis, SOTA model finetuning.
Large-Scale Training, GANs and VAEs.
Experienced with open-source AI models, particularly in image generation (e.g., Stable Diffusion).
Utilized techniques like LoRA for model optimization.
Extensive experience with AI frameworks, including TensorFlow and PyTorch.
Proficient in Python and advanced deep learning techniques.

Synergy International Systems
6 Months Intensive Summer School Internship
2018

Backend development using JAVA and Python frameworks.
Database development using MS-SQL.
Object-Oriented Programming (OOP).

Education

Master's of Computer Science
M2 AI Systems and Data, PSL Dauphine
Paris, France | 2022 - 2023
- One of Top 50 of world universities according to Shanghai Ranking.
- Master’s Thesis: “Optimization and Fine Tuning of Large Text to Image Models”.
Bachelor of Computer Science
American University of Armenia
2017 - 2021
- Literature Survey: Fireflies curing Fault-Tolerance in Robotic Swarm Systems.
- Literature Survey: Community Detection in Mixed and Temporal Networks.
- Capstone: Graph Diameter Shrinking Approaches for Pseudo-Random Graphs.

Teaching

Teaching Associate: Introduction to ML
M1 MIAGE Apprentissage, Paris Dauphine PSL
September 2024 - February 2025 | Paris, France
Teaching Associate: Artificial Intelligence
M1 MIAGE Apprentissage, Paris Dauphine PSL
January 2024 - May 2025 | Paris, France
Teaching Associate: Outils en informatique (Excel)
Paris Dauphine PSL
January 2024 - May 2025 | Paris, France
Teaching Associate: Outils en informatique (Internet, HTML)
Paris Dauphine PSL
January 2024 - May 2025 | Paris, France
Teaching Associate: Causal Inference
American University of Armenia
January 2022 - May 2022 | Yerevan, Armenia
Teaching Assistant: Data Visualization
American University of Armenia
September 2021 - December 2021 | Yerevan, Armenia

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