3 papers
cs.CV2025
Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu +2
This paper proposes a novel matrix quantization method, Binary Quadratic Quantization (BQQ). In contrast to conventional first-order quantization approaches, such as uniform quanti…
math.OC2025
Annealed Mean Field Descent Is Highly Effective for Quadratic Unconstrained Binary Optimization
Kyo Kuroki, Thiem Van Chu, Masato Motomura +1
In recent years, formulating various combinatorial optimization problems as Quadratic Unconstrained Binary Optimization (QUBO) has gained significant attention as a promising appro…
cs.LG2023
Local Energy Distribution Based Hyperparameter Determination for Stochastic Simulated Annealing
Naoya Onizawa, Kyo Kuroki, Duckgyu Shin +1
This paper presents a local energy distribution based hyperparameter determination for stochastic simulated annealing (SSA). SSA is capable of solving combinatorial optimization pr…