Abstract: The efficient scheduling of multi-task jobs across multiprocessor systems has become increasingly critical with the rapid expansion of computational systems. This challenge, known as ...
Lance Fortnow on the current status and future outlook of solving the P-NP problem.
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 ...
TCT 192: Prediction of 2-Year Target Lesion Failure by Final OCT Minimal Stent Area in Cases of In-Stent Restenosis Receive the the latest news, research, and presentations from major meetings right ...
import torch @torch.compile(backend="inductor") def fn(src, index, base_tensor): src = src + 10 torch.use_deterministic_algorithms(True) base_tensor.scatter_(0, index ...
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 ...
ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
Drop in at a library, and you’ll likely notice that most shelves aren’t full—librarians leave some empty space on each shelf. That way, when they get new books, they can slot them into place without ...
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