Zobrazeno 1 - 10
of 10 035
pro vyhledávání: '"Fedorenko, A. A."'
Autor:
Dupuis, Nicolas, Fedorenko, Andrei A.
We determine the phase diagram of a one-dimensional Bose gas in the presence of disorder with short- and long-range correlations, the latter decaying with distance as $1/|x|^{1+\sigma}$. When $\sigma<0$, the Berezinskii-Kosterlitz-Thouless transition
Externí odkaz:
http://arxiv.org/abs/2407.03430
Autor:
Ivanova, Anna A., Sathe, Aalok, Lipkin, Benjamin, Kumar, Unnathi, Radkani, Setayesh, Clark, Thomas H., Kauf, Carina, Hu, Jennifer, Pramod, R. T., Grand, Gabriel, Paulun, Vivian, Ryskina, Maria, Akyürek, Ekin, Wilcox, Ethan, Rashid, Nafisa, Choshen, Leshem, Levy, Roger, Fedorenko, Evelina, Tenenbaum, Joshua, Andreas, Jacob
The ability to build and leverage world models is essential for a general-purpose AI agent. Testing such capabilities is hard, in part because the building blocks of world models are ill-defined. We present Elements of World Knowledge (EWOK), a frame
Externí odkaz:
http://arxiv.org/abs/2405.09605
Instruction-tuned LLMs can respond to explicit queries formulated as prompts, which greatly facilitates interaction with human users. However, prompt-based approaches might not always be able to tap into the wealth of implicit knowledge acquired by L
Externí odkaz:
http://arxiv.org/abs/2403.14859
Today's most accurate language models are trained on orders of magnitude more language data than human language learners receive - but with no supervision from other sensory modalities that play a crucial role in human learning. Can we make LMs' repr
Externí odkaz:
http://arxiv.org/abs/2403.14551
Autor:
Roshal, Daria S., Fedorenko, Kirill K., Martin, Marianne, Baghdiguian, Stephen, Rochal, Sergei B.
Most of normal proliferative epithelia of plants and metazoans are topologically invariant and characterized by similar cell distributions according to the number of cell neighbors (DCNs). Here we study peculiarities of these distributions and explai
Externí odkaz:
http://arxiv.org/abs/2403.03079
Autor:
Tuckute, Greta, Finzi, Dawn, Margalit, Eshed, Zylberberg, Joel, Chung, SueYeon, Fyshe, Alona, Fedorenko, Evelina, Kriegeskorte, Nikolaus, Yates, Jacob, Grill-Spector, Kalanit, Kar, Kohitij
In recent years, neuroscience has made significant progress in building large-scale artificial neural network (ANN) models of brain activity and behavior. However, there is no consensus on the most efficient ways to collect data and design experiment
Externí odkaz:
http://arxiv.org/abs/2401.03376
Publikováno v:
Phys. Rev. B 109, 174204 (2024)
We study a non-Anderson disorder driven quantum phase transition in a semi-infinite Dirac semimetal with a flat boundary. The conformally invariant boundary conditions, which include those that are time-reversal invariant, lead to nodal-like surface
Externí odkaz:
http://arxiv.org/abs/2312.10790
Satellite observations of acoustic-gravity waves in the polar regions of the atmosphere indicate a close connection of these waves with wind flows. The paper investigates the peculiarities of the propagation of AGWs in spatially inhomogeneous flows,
Externí odkaz:
http://arxiv.org/abs/2311.04529
Predicting upcoming events is critical to our ability to interact with our environment. Transformer models, trained on next-word prediction, appear to construct representations of linguistic input that can support diverse downstream tasks. But how do
Externí odkaz:
http://arxiv.org/abs/2311.04930
Autor:
Li, Jian, Tuckute, Greta, Fedorenko, Evelina, Edlow, Brian L., Dalca, Adrian V., Fischl, Bruce
Surface-based cortical registration is an important topic in medical image analysis and facilitates many downstream applications. Current approaches for cortical registration are mainly driven by geometric features, such as sulcal depth and curvature
Externí odkaz:
http://arxiv.org/abs/2311.08544