Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

try to run a simple inference test, but see non-deterministic results. # example from dino notebook, test on a small image n_layers = MODEL_TO_NUM_LAYERS[model_name] with torch.inference_mode(): with ...

Note, not present with ["enhanced-determinism"] so more potentially an interesting counter example to docs that say is locally deterministic. Enhanced-determinism fixed this for my use case. I noticed ...

Background In an extended time window, contrast-based neuroimaging is valuable for treatment selection or prognosis in patients with stroke undergoing reperfusion treatment. However, its immediate ...

Abstract: Symmetric encryption algorithms learned by the previous proposed end-to-end adversarial network encryption communication systems are deterministic. With the same key and same plaintext, the ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Philadelphia, April 17, 2025 – Researchers from Children’s Hospital of Philadelphia (CHOP) and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have successfully ...