Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: We introduce VertexRegen, a novel mesh generation framework that enables generation at a continuous level of detail. Existing autoregressive methods generate meshes in a partial-to-complete manner and thus intermediate steps of generation represent incomplete structures. VertexRegen takes inspiration from […]
Kavli Affiliate: Felix Fischer | First 5 Authors: Felix Fischer, Felix Fischer, , , | Summary: Higher-order squeezing captures non-Gaussian features of quantum light by probing moments of the field beyond the variance, and is associated with operators involving nonlinear combinations of creation and annihilation operators. Here we study a class of operators of the […]
Kavli Affiliate: Felix Fischer | First 5 Authors: Sahel Ashhab, Sahel Ashhab, , , | Summary: We show unexpected behaviour in simulations of generalized squeezing performed with finite-dimensional truncations of the Fock space: even for extremely large dimension of the state space, the results depend on whether the truncation dimension is even or odd. This […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Guanning Zeng, Guanning Zeng, , , | Summary: We propose YOLO-Count, a differentiable open-vocabulary object counting model that tackles both general counting challenges and enables precise quantity control for text-to-image (T2I) generation. A core contribution is the ‘cardinality’ map, a novel regression target that accounts for variations […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across the network, through interactive exchange of the intermediate model updates. To ensure data security, cryptographic techniques […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across the network, through interactive exchange of the intermediate model updates. To ensure data security, cryptographic techniques […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Fupei Guo, Fupei Guo, , , | Summary: The rapid development of artificial intelligence has driven smart health with next-generation wireless communication technologies, stimulating exciting applications in remote diagnosis and intervention. To enable a timely and effective response for remote healthcare, efficient transmission of medical data through […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Jyesta M. Adhidewata, Jyesta M. Adhidewata, , , | Summary: The excitations of fractional quantum Hall effect (FQHE) states have been largely inaccessible to experimental probes until recently. New electron scanning tunneling microscopy (STM) results from Hu et.al. (2023) show promise in detecting and identifying these […]
Kavli Affiliate: Feng Wang | First 5 Authors: Kimi Team, Kimi Team, , , | Summary: We introduce Kimi K2, a Mixture-of-Experts (MoE) large language model with 32 billion activated parameters and 1 trillion total parameters. We propose the MuonClip optimizer, which improves upon Muon with a novel QK-clip technique to address training instability while […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yuhong Zhang, Yuhong Zhang, , , | Summary: Animation colorization plays a vital role in animation production, yet existing methods struggle to achieve color accuracy and temporal consistency. To address these challenges, we propose textbfAnimeColor, a novel reference-based animation colorization framework leveraging Diffusion Transformers (DiT). Our approach […]