Zobrazeno 1 - 10
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pro vyhledávání: '"A. Gandhi"'
We study the effects of superconducting $p$-wave pairing on the non-Hermitian Aubry-Andr\'e-Harper model with power-law hopping. For the case of short-range hopping, weak pairing leads to oscillating quasi-Majorana zero modes, turning to edge-localiz
Externí odkaz:
http://arxiv.org/abs/2411.14144
This paper presents a novel method for discovering systematic errors in segmentation models. For instance, a systematic error in the segmentation model can be a sufficiently large number of misclassifications from the model as a parking meter for a t
Externí odkaz:
http://arxiv.org/abs/2411.10845
The widespread adoption of language models (LMs) across multiple industries has caused huge surge in demand for GPUs. Training LMs requires tens of thousands of GPUs and housing them in the same datacenter (DCs) is becoming challenging. We focus on t
Externí odkaz:
http://arxiv.org/abs/2411.14458
Recent evaluations of LLMs on coreference resolution have revealed that traditional output formats and evaluation metrics do not fully capture the models' referential understanding. To address this, we introduce IdentifyMe, a new benchmark for mentio
Externí odkaz:
http://arxiv.org/abs/2411.07466
Large Language Models (LLMs) excel in diverse applications including generation of code snippets, but often struggle with generating code for complex Machine Learning (ML) tasks. Although existing LLM single-agent based systems give varying performan
Externí odkaz:
http://arxiv.org/abs/2411.07464
Transcranial direct current stimulation (tDCS) has emerged as a promising non-invasive therapeutic intervention for major depressive disorder (MDD), yet its effects on neural mechanisms remain incompletely understood. This study investigates the impa
Externí odkaz:
http://arxiv.org/abs/2411.06359
Shadow removal and segmentation remain challenging tasks in computer vision, particularly in complex real world scenarios. This study presents a novel approach that enhances the ShadowFormer model by incorporating Masked Autoencoder (MAE) priors and
Externí odkaz:
http://arxiv.org/abs/2411.05747
Autor:
Shaw, A. W., Kaplan, D. L., Gandhi, P., Maccarone, T. J., Borowski, E. S., Britt, C. T., Buckley, D. A. H., Burdge, K. B., Charles, P. A., Dhillon, V. S., French, R. G., Heinke, C. O., Hynes, R. I., Knigge, C., Littlefair, S. P., Pawar, Devraj, Plotkin, R. M., Ressler, M. E., Santos-Sanz, P., Shahbaz, T., Sivakoff, G. R., Stevens, A. L.
JWST, despite not being designed to observe astrophysical phenomena that vary on rapid time scales, can be an unparalleled tool for such studies. If timing systematics can be controlled, JWST will be able to open up the sub-second infrared timescale
Externí odkaz:
http://arxiv.org/abs/2411.02238
Autor:
Koeplinger, David, Gandhi, Darshan, Nandkar, Pushkar, Sheeley, Nathan, Musaddiq, Matheen, Zhang, Leon, Goodbar, Reid, Shaffer, Matthew, Wang, Han, Wang, Angela, Wang, Mingran, Prabhakar, Raghu
Token generation speed is critical to power the next wave of AI inference applications. GPUs significantly underperform during token generation due to synchronization overheads at kernel boundaries, utilizing only 21% of their peak memory bandwidth.
Externí odkaz:
http://arxiv.org/abs/2410.23668
Autor:
Nandi, Ankita, Gandhi, Krishil, Singh, Mahendra Pratap, Chakrabartty, Shantanu, Thakur, Chetan Singh
Diverse computing paradigms have emerged to meet the growing needs for intelligent energy-efficient systems. The Margin Propagation (MP) framework, being one such initiative in the analog computing domain, stands out due to its scalability across bia
Externí odkaz:
http://arxiv.org/abs/2410.22946