Zobrazeno 1 - 10
of 341 609
pro vyhledávání: '"A Amit"'
We develop a motivic cohomology theory, representable in the Voevodsky's triangulated category of motives, for smooth separated Deligne-Mumford stacks and show that the resulting higher Chow groups are canonically isomorphic to the higher $K$-theory
Externí odkaz:
http://arxiv.org/abs/2412.05071
Deep learning models rely heavily on large volumes of labeled data to achieve high performance. However, real-world datasets often contain noisy labels due to human error, ambiguity, or resource constraints during the annotation process. Instance-dep
Externí odkaz:
http://arxiv.org/abs/2412.04898
Autor:
Wei, Dennis, Padhi, Inkit, Ghosh, Soumya, Dhurandhar, Amit, Ramamurthy, Karthikeyan Natesan, Chang, Maria
Training data attribution (TDA) is the task of attributing model behavior to elements in the training data. This paper draws attention to the common setting where one has access only to the final trained model, and not the training algorithm or inter
Externí odkaz:
http://arxiv.org/abs/2412.03906
We consider a class of optimization problems over stochastic variables where the algorithm can learn information about the value of any variable through a series of costly steps; we model this information acquisition process as a Markov Decision Proc
Externí odkaz:
http://arxiv.org/abs/2412.03860
Red supergiants may lose significant mass through steady winds and episodic eruptions in the final 100-1000 years before the core collapses, shaping their circumstellar environment. Interaction between supernova (SN) ejecta and distant circumstellar
Externí odkaz:
http://arxiv.org/abs/2412.03509
Autor:
Chakraborty, Sourav, Fischer, Eldar, Ghosh, Arijit, Levi, Amit, Mishra, Gopinath, Sen, Sayantan
The Huge Object model of property testing [Goldreich and Ron, TheoretiCS 23] concerns properties of distributions supported on $\{0,1\}^n$, where $n$ is so large that even reading a single sampled string is unrealistic. Instead, query access is provi
Externí odkaz:
http://arxiv.org/abs/2412.02235
Autor:
Chen, Yizuo, Bhatia, Amit
We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models) by representing it using causal graphs. The framework enables us to define and identify features that directly cause
Externí odkaz:
http://arxiv.org/abs/2412.02878
Autor:
Dey, Sutapa, Tripathi, Amit
We use a quasilift type construction to obtain some bounds on the depth of the tensor product of certain modules over a local $\mathcal{TE}$ ring. We recover a result of Celikbas, Sadeghi, and Takahashi for local complete intersection rings. Some gen
Externí odkaz:
http://arxiv.org/abs/2412.01392
Autor:
Sukumar, N., Acharya, Amit
Many partial differential equations (PDEs) such as Navier--Stokes equations in fluid mechanics, inelastic deformation in solids, and transient parabolic and hyperbolic equations do not have an exact, primal variational structure. Recently, a variatio
Externí odkaz:
http://arxiv.org/abs/2412.01232
Autor:
Moryossef, Amit
Sign Language Processing (SLP) is an interdisciplinary field comprised of Natural Language Processing (NLP) and Computer Vision. It is focused on the computational understanding, translation, and production of signed languages. Traditional approaches
Externí odkaz:
http://arxiv.org/abs/2412.01991