Thiparat Chotibut

1. Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling
   2023/08/04 by Teerachote Pakornchote, Natthaphon Choomphon-anomakhun, Pakornchote, Teerachote +11 · 6 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #X-ray Diffraction in Crystallography #Topic Modeling
2. A unifying account of warm start guarantees for patches of quantum landscapes
   2025/02/11 by Hela Mhiri, Ricard Puig, Mhiri, Hela +11 · 10 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Quantum many-body systems
3. StrainTensorNet: Predicting crystal structure elastic properties using SE(3)-equivariant graph neural networks
   2023/06/22 by Teerachote Pakornchote, Pakornchote, Teerachote, Annop Ektarawong +3 · 2 citations
   Materials Science · #Machine Learning in Materials Science #X-ray Diffraction in Crystallography #Boron and Carbon Nanomaterials Research
4. Role of scrambling and noise in temporal information processing with quantum systems
   2025/05/15 by Weijie Xiong, Xiong, Weijie, Zoë Holmes +9 · 4 citations
   Physics and Astronomy · Computer Science · #Quantum Mechanics and Applications #Quantum Computing Algorithms and Architecture #Statistical Mechanics and Entropy
5. Dissipation alters modes of information encoding in small quantum reservoirs near criticality
   2024/12/24 by Krai Cheamsawat, Thiparat Chotibut, Cheamsawat, Krai +1 · 2 citations
   Computer Science · Physics and Astronomy · #Quantum Information and Cryptography #Quantum and electron transport phenomena #Advanced Thermodynamics and Statistical Mechanics
6. Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms
   2025/06/16 by Kasidit Srimahajariyapong, Supanut Thanasilp, Srimahajariyapong, Kasidit +3 · 3 citations
   Computer Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
7. Natural Invariant Measures for Chaotic Game Dynamics: Finding Order in Chaos
   2026/07/23 by Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski +2
   #math.DS #cs.LG #econ.TH