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This paper addresses the challenging problem of constrained maximum-entropy exploration in reinforcement learning (RL), where an agent seeks a policy that maximizes the entropy of the induced state…
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This paper addresses the critical problem of authenticating bullion coins, which is increasingly challenging due to the sophistication of counterfeit coins that are visually nearly indistinguishabl…
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This paper tackles a specific failure mode in reflective journaling: people often write text that does not match how they sound
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This paper tackles a very specific bottleneck in sampling-based approximate query processing: index-assisted online aggregation can give low-latency answers, but for skewed data or selective predic…
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This paper asks a narrower question than “do players like AI in games?” It argues that player acceptance depends on the site of intervention: the same AI label is evaluated differently when it driv…
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This paper addresses the challenging problem of face recognition in an extremely limited labeled-data regime: only one labeled image of a single person is available, and all other face images from …
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This paper addresses the challenge of robust representation learning from noisy EEG data for automated seizure detection
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This paper addresses the problem of accurate state estimation for nonlinear, agile unmanned aerial vehicles (UAVs) operating under degraded sensing conditions such as high sensor noise and sparse m…
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PuzzleMark addresses a very practical but underexplored problem: how to watermark high-value code datasets so an owner can later prove unauthorized use by neural code completion models, while avoid…
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RopeDreamer tackles long-horizon dynamics prediction for deformable linear objects (DLOs) such as ropes and cables, where standard learned predictors often drift, over-stretch links, or lose track …
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This paper addresses the challenging problem of statically attributing Android residential proxy malware APKs to specific commercial proxy networks
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DAMSA is a proposed very-short-baseline beam-dump experiment designed to search for short-lived particles that decay too early to be efficiently seen in conventional long-baseline beam-dump setups
