Tootfinder

High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
Yuchen Yang, Kaihong Lu, Long Wang
https://arxiv.org/abs/2506.11647

High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
In this paper, the problem of distributed optimization is studied via a network of agents. Each agent only has access to a noisy gradient of its own objective function, and can communicate with its neighbors via a network. To handle this problem, a distributed clipped stochastic gradient descent algorithm is proposed, and the high probability convergence of the algorithm is studied. Existing works on distributed algorithms involving stochastic gradients only consider the light-tailed noises. Di…

CLiFT: Compressive Light-Field Tokens for Compute-Efficient and Adaptive Neural Rendering
Zhengqing Wang, Yuefan Wu, Jiacheng Chen, Fuyang Zhang, Yasutaka Furukawa
https://arxiv.org/abs/2507.08776

CLiFT: Compressive Light-Field Tokens for Compute-Efficient and Adaptive Neural Rendering
This paper proposes a neural rendering approach that represents a scene as "compressed light-field tokens (CLiFTs)", retaining rich appearance and geometric information of a scene. CLiFT enables compute-efficient rendering by compressed tokens, while being capable of changing the number of tokens to represent a scene or render a novel view with one trained network. Concretely, given a set of images, multi-view encoder tokenizes the images with the camera poses. Latent-space K-means selects a re…

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
Hassan Mortada, Cyril Falcon, Yanis Kahil, Math\'eo Clavaud, Jean-Philippe Michel
https://arxiv.org/abs/2506.11639

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
State estimation in stochastic dynamical systems with noisy measurements is a challenge. While the Kalman filter is optimal for linear systems with independent Gaussian white noise, real-world conditions often deviate from these assumptions, prompting the rise of data-driven filtering techniques. This paper introduces Recursive KalmanNet, a Kalman-filter-informed recurrent neural network designed for accurate state estimation with consistent error covariance quantification. Our approach propaga…

Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions
C\'ecile Clavaud, Abhinendra Singh
https://arxiv.org/abs/2506.11951

Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions
In this article, we provide a brief perspective on recent developments in the study of shear thickening in dense suspensions. We give a rapid overview of the state of the art and discuss current models aiming to describe this particular rheology. Although most of the experiments and simulation studies are conducted in "ideal" flows, where the sample is confined without an open boundary condition, we have decided to highlight more realistic flow conditions. We further provide an overview on how …

🇺🇦 #NowPlaying on KEXP's #Roadhouse
Clifton Chenier:
🎵 Tu le ton son ton
#CliftonChenier
https://cliftonchenier.bandcamp.com/track/tu-le-ton-son-ton-every-now-and-then
https://open.spotify.com/track/0ko4hzimgGJMWqFGft1MEy

OH SNAP. "CALL OF DUTY BLACK OPS 7" JUST ANNOUNCED.
✅ Announcement: Call of Duty: Black Ops 7 Confirmed
https://www.callofduty.com/blog/2025/06/call-of-duty-black-ops-7-confirmed

Homological invariant properties under cleft extensions
Li Liang, Yajun Ma, Gang Yang
https://arxiv.org/abs/2506.02691 https://arxiv.…

Homological invariant properties under cleft extensions
We study the behavior of the Gorenstein weak global dimension and Gorenstein flat-cotorsion global dimension under a cleft extension of rings; we prove that under some mild conditons the finiteness of the Gorenstein weak global dimension and that of the Gorenstein flat-cotorsion global dimension are both invariant. Moreover, we compare the relative singularity categories with respect to flat-cotorsion modules under a cleft extension of rings. Some applications to θ-extensions and Morita contex…

🇺🇦 #NowPlaying on KEXP's #MorningShow
The Damned:
🎵 Shadow of Love
#TheDamned
https://cleopatrarecords.bandcamp.com/track/the-damned-shadow-of-love
https://open.spotify.com/track/68k7lUGSrHcowpgii76M57

🇺🇦 #NowPlaying on KEXP's #Roadhouse
Clifton Chenier:
🎵 I'm Coming Home
#CliftonChenier
https://cliftonchenier.bandcamp.com/album/king-of-the-bayous-im-coming-home
https://open.spotify.com/track/75E2RVwx6dncaH51QTFAeU

🇺🇦 #NowPlaying on KEXP's #JazzTheatre
Okonski:
🎵 Vista
#Okonski
https://okonski.bandcamp.com/track/vista
https://open.spotify.com/track/7ceLb4TBk4IOPirddCJ1k6