Users who run a memory-bound OpenFOAM case on an AMD EPYC cluster must decide how many nodes to use and how many MPI ranks to place on each core complex. The fastest choice is often not the cheapest one. This paper revisits our earlier analytical model of this performance and energy trade-off with 560 measured configur...
Marcin Lawenda, {\L}ukasz Szustak, Aleksandra Krasicka· 0 citations
When we say that a robot uses memory, does that memory actually play a role? Success-rate ablations alone cannot establish the use of task-relevant facts: they change information and computation together, while aggregate rates can hide offsetting gains and losses. We propose an Interventional Memory Evaluation Protocol...
Ke-Yuan Luo, Yi Xie, Wan-Yun Ling et al.· 0 citations
Often, \emph{eg} in healthcare and predictive maintenance, what matters is which of several competing causes will strike first, and with what probability: survival analysis with competing risks. Corresponding deep learning methods are developed as bundles: a new architecture together with a new training loss, tested on...
Spatial-TRM is introduced, a compact recursive model with frozen vision-language features, a convex region decoder, and just 11.2M trainable parameters that improves spatial context prediction from pretrained vision-language features at a fixed trainable parameter count on this benchmark.
Wajeeha Tahir, Anna Tegon, Lionnus Kesting et al.· 0 citations
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Isogai's case A, a pitch-plunge aerofoil whose elastic axis lies half a chord ahead of the leading edge, has a folded transonic flutter boundary in inviscid flow: near the bottom of the transonic dip several flutter speeds coexist at one Mach number. We map this boundary, and the family obtained by moving the elastic a...
This work amortizes a major bottleneck in QAOA by an up-front data generation and training cost and can be amortized over time in settings where many similar problems are optimized on a regular basis, as is often the case in applications for industry.
Johannes Jakubik, Isabelle Wittmann, Zaheed Gaffoor et al.· 0 citations
The accuracy, true negative rate (negative class recall), true positive rate (positive class recall), negative predictive value (negative class precision), positive predictive value (positive class precision), class-specific intersections over unions, class-specific F-scores, Cohen's kappa, and balanced accuracy are sc...
S\'ebastien Pi\'erard, Adrien Deli\`ege, Marc Van Droogenbroeck· 0 citations
We address the problem of improving the performance of pre-stabilized networked systems subject to plug-and-play (PnP) operations, namely additions or removals of subsystems. While distributed baseline controllers can preserve stability after a PnP transition, augmenting them with expressive neural policies can invalid...
Vision-language-action (VLA) models can learn a wide range of robotic skills, but combining separately trained skills remains challenging. The original training data may be unavailable for joint retraining, while directly merging model weights can cause interference. We propose NestedVLA, which consolidates independent...
Chain-of-thought (CoT) controllability, the ability of reasoning models to control properties of their CoT, is consequential for both their usefulness and reliable oversight. Recent work evaluates this capability by measuring whether models follow CoT constraints given in the user prompt, and reports very low controlla...
To test whether a model understands a pairing, the benchmark should keep the parts fixed, change the pairing, and ask only about coupling, which makes image-only, text-only, and additive component shortcuts cancel exactly in finite samples.
Reasoning systems increasingly improve answers by incorporating additional context into the model's input, from multi-agent debate, where agents read their peers'responses, to self-refinement, where a model revisits its own drafts. In these systems, communication consumes context as one agent's output becomes another's...
A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Learn how Google Antigravity and our Cheminformatics Skills accelerate drug discovery workflows, search compounds, and propose novel rigidified macrocycles.
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