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Autor:
Yoon, Se-eun, Wei, Xiaokai, Jiang, Yexi, Pareek, Rachit, Ong, Frank, Gao, Kevin, McAuley, Julian, Gong, Michelle
In this paper, we present a systematic effort to design, evaluate, and implement a realistic conversational recommender system (CRS). The objective of our system is to allow users to input free-form text to request recommendations, and then receive a
Externí odkaz:
http://arxiv.org/abs/2411.19352
Autor:
Prakash, Eva, Valanarasu, Jeya Maria Jose, Chen, Zhihong, Reis, Eduardo Pontes, Johnston, Andrew, Pareek, Anuj, Bluethgen, Christian, Gatidis, Sergios, Olsen, Cameron, Chaudhari, Akshay, Ng, Andrew, Langlotz, Curtis
Purpose: To explore best-practice approaches for generating synthetic chest X-ray images and augmenting medical imaging datasets to optimize the performance of deep learning models in downstream tasks like classification and segmentation. Materials a
Externí odkaz:
http://arxiv.org/abs/2411.18602
Autor:
Pareek, Parikshit, Sampath, L. P. Mohasha Isuru, Singh, Anshuman, Goel, Lalit, Gooi, Hoay Beng, Nguyen, Hung Dinh
This work proposes a novel degradation-infused energy portfolio allocation (DI-EPA) framework for enabling the participation of battery energy storage systems in multi-service electricity markets. The proposed framework attempts to address the challe
Externí odkaz:
http://arxiv.org/abs/2411.01506
Glassy dynamics in a dense system of active particles with self-propulsion force $f_0$ and persistence time $\tau_p$ are crucial for many biological processes. Recent studies have shown that, unlike relaxation dynamics, dynamic heterogeneity (DH) in
Externí odkaz:
http://arxiv.org/abs/2410.15928
Constrained optimization problems arise in various engineering system operations such as inventory management and electric power grids. However, the requirement to repeatedly solve such optimization problems with uncertain parameters poses a signific
Externí odkaz:
http://arxiv.org/abs/2410.03085
Recent experiments in ABC trilayer graphene detected superconductivity on the border of a phase transition to a symmetry-broken phase. In this work, we use unrestricted Hartree-Fock to study the nature of this phase. We find a close competition betwe
Externí odkaz:
http://arxiv.org/abs/2408.10309
Self-Distillation is a special type of knowledge distillation where the student model has the same architecture as the teacher model. Despite using the same architecture and the same training data, self-distillation has been empirically observed to i
Externí odkaz:
http://arxiv.org/abs/2407.04600
Autor:
Pareek, Akash
The (preorder) traversal conjecture states that starting with an initial tree, the cost to search a sequence $S=(s_1,s_2,\dots,s_n) \in [n]^n$ in a binary search tree (BST) algorithm is $O(n)$, where $S$ is obtained by a preorder traversal of some BS
Externí odkaz:
http://arxiv.org/abs/2407.03666
Generative AI systems have been heralded as tools for augmenting human creativity and inspiring divergent thinking, though with little empirical evidence for these claims. This paper explores the effects of exposure to AI-generated images on measures
Externí odkaz:
http://arxiv.org/abs/2403.11164