Zobrazeno 1 - 10
of 484 866
pro vyhledávání: '"David , M."'
Autor:
Chan, David M., Corona, Rodolfo, Park, Joonyong, Cho, Cheol Jun, Bai, Yutong, Darrell, Trevor
With the introduction of transformer-based models for vision and language tasks, such as LLaVA and Chameleon, there has been renewed interest in the discrete tokenized representation of images. These models often treat image patches as discrete token
Externí odkaz:
http://arxiv.org/abs/2411.05001
We present exact pole dynamics solutions to the generalized Constantin-Lax-Majda (gCLM) equation in a periodic geometry with dissipation $-\Lambda^\sigma$, where its spatial Fourier transform is $\widehat{\Lambda^\sigma}=|k|^\sigma$. The gCLM equatio
Externí odkaz:
http://arxiv.org/abs/2411.01891
Autor:
Kuo, David M T
In this comprehensive study, we conduct a theoretical investigation into the Stark shift of topological states (TSs) in finite armchair graphene nanoribbons (AGNRs) and heterostructures under transverse electric fields. Our focus centers on the multi
Externí odkaz:
http://arxiv.org/abs/2411.01555
Formally verifying the correctness of mathematical proofs is more accessible than ever, however, the learning curve remains steep for many of the state-of-the-art interactive theorem provers (ITP). Deriving the most appropriate subsequent proof step,
Externí odkaz:
http://arxiv.org/abs/2411.01188
Autor:
Cai, Diana, Modi, Chirag, Margossian, Charles C., Gower, Robert M., Blei, David M., Saul, Lawrence K.
We develop EigenVI, an eigenvalue-based approach for black-box variational inference (BBVI). EigenVI constructs its variational approximations from orthogonal function expansions. For distributions over $\mathbb{R}^D$, the lowest order term in these
Externí odkaz:
http://arxiv.org/abs/2410.24054
Autor:
Aminzadeh, Alaleh, Kingston, Andrew M., Roberts, Lindon, Paganin, David M., Petersen, Timothy C., Svalbe, Imants D.
Scanning objects with a more tightly focused beam (for example of photons or electrons) can provide higher-resolution images. However the stronger localisation of energy deposition can damage tissues in organic samples or may rearrange the chemical s
Externí odkaz:
http://arxiv.org/abs/2410.18348
Autor:
Alloo, Samantha J., Paganin, David M., Croughan, Michelle K., Ahlers, Jannis N., Pavlov, Konstantin M., Morgan, Kaye S.
A key contribution to X-ray dark-field (XDF) is X-ray diffusion by sample structures smaller than the imaging system's spatial resolution. However, some XDF techniques report that resolvable sample edges also generate XDF. Speckle-based X-ray imaging
Externí odkaz:
http://arxiv.org/abs/2410.18317
Autor:
Pavlovic, Liam, Rosen, David M.
Stein variational inference (SVI) is a sample-based approximate Bayesian inference technique that generates a sample set by jointly optimizing the samples' locations to minimize an information-theoretic measure of discrepancy with the target probabil
Externí odkaz:
http://arxiv.org/abs/2410.16195
A central question in human immunology is how a patient's repertoire of T cells impacts disease. Here, we introduce a method to infer the causal effects of T cell receptor (TCR) sequences on patient outcomes using observational TCR repertoire sequenc
Externí odkaz:
http://arxiv.org/abs/2410.14127
Autor:
Shi, Claudia, Beltran-Velez, Nicolas, Nazaret, Achille, Zheng, Carolina, Garriga-Alonso, Adrià, Jesson, Andrew, Makar, Maggie, Blei, David M.
Large language models (LLMs) demonstrate surprising capabilities, but we do not understand how they are implemented. One hypothesis suggests that these capabilities are primarily executed by small subnetworks within the LLM, known as circuits. But ho
Externí odkaz:
http://arxiv.org/abs/2410.13032