The Optical and Mechanical Design of POEMMA Balloon with Radio

Kavli Affiliate: Stephan Meyer | First 5 Authors: Eric Mayotte, Eric Mayotte, , , | Summary: POEMMA Balloon with Radio (PBR) is a NASA super-pressure balloon mission building toward the proposed Probe Of Extreme Multi-Messenger Astrophysics (POEMMA) dual satellite mission. In its planned 2027 launch, PBR will study Ultra-High-Energy Cosmic Rays, Neutrinos, and High-Altitude Horizontal […]


Continue.. The Optical and Mechanical Design of POEMMA Balloon with Radio

The Optical and Mechanical Design of POEMMA Balloon with Radio

Kavli Affiliate: Stephan Meyer | First 5 Authors: Eric Mayotte, Eric Mayotte, , , | Summary: POEMMA Balloon with Radio (PBR) is a NASA super-pressure balloon mission building toward the proposed Probe Of Extreme Multi-Messenger Astrophysics (POEMMA) dual satellite mission. In its planned 2027 launch, PBR will study Ultra-High-Energy Cosmic Rays, Neutrinos, and High-Altitude Horizontal […]


Continue.. The Optical and Mechanical Design of POEMMA Balloon with Radio

Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Feng Wang, , , | Summary: Reinforcement Learning (RL) has recently emerged as a powerful technique for improving image and video generation in Diffusion and Flow Matching models, specifically for enhancing output quality and alignment with prompts. A critical step for applying online RL methods […]


Continue.. Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching

Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Feng Wang, , , | Summary: Reinforcement Learning (RL) has recently emerged as a powerful technique for improving image and video generation in Diffusion and Flow Matching models, specifically for enhancing output quality and alignment with prompts. A critical step for applying online RL methods […]


Continue.. Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching

Sensory Compression as a Unifying Principle for Action Chunking and Time Coding in the Brain

Kavli Affiliate: Marcelo Mattar | Authors: Sreejan Kumar, Matthieu B Le Cauchois, Alexander Mathis, Lea Duncker, Jonathon R. Howlett and Marcelo G. Mattar | Summary: The brain seamlessly transforms sensory information into precisely-timed movements, enabling us to type familiar words, play musical instruments, or perform complex motor routines with millisecond precision. This process often involves […]


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Depth-Aware Super-Resolution via Distance-Adaptive Variational Formulation

Kavli Affiliate: Feng Wang | First 5 Authors: Tianhao Guo, Tianhao Guo, , , | Summary: Single image super-resolution traditionally assumes spatially-invariant degradation models, yet real-world imaging systems exhibit complex distance-dependent effects including atmospheric scattering, depth-of-field variations, and perspective distortions. This fundamental limitation necessitates spatially-adaptive reconstruction strategies that explicitly incorporate geometric scene understanding for optimal […]


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LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding

Kavli Affiliate: Ke Wang | First 5 Authors: Yuxuan Hu, Yuxuan Hu, , , | Summary: Recent progress in Large Language Models (LLMs) has opened new avenues for solving complex optimization problems, including Neural Architecture Search (NAS). However, existing LLM-driven NAS approaches rely heavily on prompt engineering and domain-specific tuning, limiting their practicality and scalability […]


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GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses

Kavli Affiliate: Wei Gao | First 5 Authors: Haoxuan Dylan Mu, Haoxuan Dylan Mu, , , | Summary: Inverse design is a common yet challenging engineering problem, particularly for nonlinear functional responses such as mechanical behavior or spectral analysis. Deep generative models are motivated by intractability, non-existence or non-uniqueness of solutions, and the need for […]


Continue.. GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses

GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses

Kavli Affiliate: Wei Gao | First 5 Authors: Haoxuan Dylan Mu, Haoxuan Dylan Mu, , , | Summary: Inverse design problems are pervasive in engineering, particularly when dealing with nonlinear system responses, such as in mechanical behavior or spectral analysis. The inherent intractability, non-existence, or non-uniqueness of their solutions, and the need for swift exploration […]


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Interaction-driven quantum criticality in two-dimensional quadratic band crossing semimetals with time-reversal symmetry breaking

Kavli Affiliate: Jing Wang | First 5 Authors: Yi-Kun Fang, Yi-Kun Fang, , , | Summary: We present a systematic investigation of all sixteen marginally relevant fermion-fermion interactions in two-dimensional time-reversal symmetry-breaking kagom’e semimetals hosting a quadratic band crossing point. Employing a momentum-shell renormalization group approach that treats every interaction on equal footing, we derive […]


Continue.. Interaction-driven quantum criticality in two-dimensional quadratic band crossing semimetals with time-reversal symmetry breaking