2 papers
cs.ET2026
Closed-Form Optimal Weight Splitting for Matrix-Vector Multiply on Noisy In-Memory Accelerators
Mehmet Aktukmak, David A. Roberts
Analog in-memory computing performs the matrix-vector multiplications of neural networks directly inside the memory array, which saves time and energy. But each memory cell stores…
cs.AI2025
Behind the Noise: Conformal Quantile Regression Reveals Emergent Representations
Petrus H. Zwart, Tamas Varga, Odeta Qafoku +1
Scientific imaging often involves long acquisition times to obtain high-quality data, especially when probing complex, heterogeneous systems. However, reducing acquisition time to…