Knob: A Physics-Inspired Gating Interface for Interpretable and Controllable Neural Dynamics | ScienceToStartup | ScienceToStartup

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References (16)

[1]

Where are we with calibration under dataset shift in image classification?

2025Mélanie Roschewitz, Raghav Mehta et al.

[2]

RankMixup: Ranking-Based Mixup Training for Network Calibration

2023Jongyoun Noh, Hyekang Park et al.

[3]

Sample-dependent Adaptive Temperature Scaling for Improved Calibration

Founder's Pitch

"Knob creates a controllable interface for neural networks by integrating classical control theory, allowing human operators to adjust model behavior using intuitive physical analogues."

Human-Computer Interaction•Score: 4•View PDF ↗

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Knob: A Physics-Inspired Gating Interface for Interpretable and Controllable Neural Dynamics

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References (16)

Founder's Pitch

"Knob creates a controllable interface for neural networks by integrating classical control theory, allowing human operators to adjust model behavior using intuitive physical analogues."

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Knob: A Physics-Inspired Gating Interface for Interpretable and Controllable Neural Dynamics

BUILDER'S SANDBOX

Build This Paper

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References (16)

Founder's Pitch

"Knob creates a controllable interface for neural networks by integrating classical control theory, allowing human operators to adjust model behavior using intuitive physical analogues."

Commercial Viability Breakdown

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