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Thomas Viehmann

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Model-Changing Transforms With Torch.compilePyTorch Conference Europe 20262026-04-07
Proposes using torch.compile’s three outputs — graph, guards, and wrapper — as a transformable contract so quantization, distribution and other changes act on…
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Thunder: Distribute and Optimize Your PyTorch Models With Zero...PyTorch Conference 20252025-10-22
Thunder compiles PyTorch by applying composable, full-graph Python transforms that produce debuggable code and enable Megatron-style sharding, kernel fusion…
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Training & Monitoring AI - Drift DetectionGOTO Copenhagen 20222022-10-03
Argues that deployed models need ongoing statistical checks, shows classical two-sample tests fail on multimodal shifts and that partial matching of…
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