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This paper addresses the challenge of PET image denoising across varied dose reduction factors (DRFs), a key practical problem since existing DL methods assume a fixed DRF and degrade when the DRF …
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WorldOlympiad introduces a comprehensive benchmark to evaluate video-based world models across three critical dimensions — physical faithfulness, geometric consistency, and interaction fidelity
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This work addresses persistent challenges in bidirectional quantum key distribution (QKD) such as classical data leakage, signal-space confinement to predictable subspaces, and limited detectabilit…
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This work addresses the classical challenge of causal derivative estimation from noisy discrete-time data, fundamental in control, HCI, and biomedical domains
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This paper addresses significant challenges in robotic contact-rich manipulation that rely on force and tactile sensing
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This paper addresses the challenge of modeling view-dependent appearance in novel-view synthesis and radiance reconstruction, where capturing complex angular effects such as specularities typically…
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The paper addresses the growing complexity and fragility in modifying large neural network checkpoints, which increasingly hampers research workflows such as model merging, LoRA factorization, prun…
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This paper addresses a fundamental limitation of behavior cloning (BC) in imitation learning — poor generalization and instability when encountering out-of-distribution (OOD) states due to compoundi…
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This paper addresses the problem of unsupervised disentangled representation learning by proposing a novel approach that leverages holographic reduced representations (HRRs), a type of vector symbo…
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Analyzing the second EPTA data release's new timing measurements for 25 millisecond pulsars over 10.3 years, the authors identify two regimes in reheating temperature — a low Trh (<1 GeV) regime wit…
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This paper addresses a critical limitation in current large language models (LLMs) for open-ended long-form text generation, a difficulty known as "Length Collapse" where generation quality and len…
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This paper addresses the challenge of circumventing exponentially closing spectral gaps that limit the runtime efficiency of conventional adiabatic quantum annealing (QA) for optimization problems
