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pro vyhledávání: '"P. Chidambaram"'
Akademický článek
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Autor:
Lau, Allison, Choi, Younwoo, Balazadeh, Vahid, Chidambaram, Keertana, Syrgkanis, Vasilis, Krishnan, Rahul G.
Reinforcement Learning from Human Feedback (RLHF) is widely used to align Language Models (LMs) with human preferences. However, existing approaches often neglect individual user preferences, leading to suboptimal personalization. We present the Pref
Externí odkaz:
http://arxiv.org/abs/2410.14001
Autor:
Fasciati, Simone D., Shteynas, Boris, Campanaro, Giulio, Bakr, Mustafa, Cao, Shuxiang, Chidambaram, Vivek, Wills, James, Leek, Peter J.
We realize a single-Josephson-junction transmon qubit shunted by a simple geometric inductor. We couple it capacitively to a conventional transmon and show that the ZZ interaction between the two qubits is completely suppressed when they are flux-bia
Externí odkaz:
http://arxiv.org/abs/2410.10416
The use of guidance in diffusion models was originally motivated by the premise that the guidance-modified score is that of the data distribution tilted by a conditional likelihood raised to some power. In this work we clarify this misconception by r
Externí odkaz:
http://arxiv.org/abs/2409.13074
Akademický článek
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We upgrade the results of Borot--Bouchard--Chidambaram--Creutzig to show that the Gaiotto vector in $\mathcal{N} = 2$ pure supersymmetric gauge theory admits an analytic continuation with respect to the energy scale (which can therefore be taken to b
Externí odkaz:
http://arxiv.org/abs/2403.16938
Publikováno v:
Advances in Oral and Maxillofacial Surgery, Vol 5, Iss , Pp 100188- (2022)
COVID -19 pandemic has unprecedented effect globally. The world health organization has declared it to be a Public Health Emergency of International Concern (PHEIC). The pandemic has a widespread effect on all sectors particularly on health care and
Externí odkaz:
https://doaj.org/article/8831eb38f27844019b212a8d27ee35c3
This work introduces a new approach to building crash-safe file systems for persistent memory. We exploit the fact that Rust's typestate pattern allows compile-time enforcement of a specific order of operations. We introduce a novel crash-consistency
Externí odkaz:
http://arxiv.org/abs/2406.09649
Autor:
Chidambaram, Muthu, Ge, Rong
A machine learning model is calibrated if its predicted probability for an outcome matches the observed frequency for that outcome conditional on the model prediction. This property has become increasingly important as the impact of machine learning
Externí odkaz:
http://arxiv.org/abs/2406.04068
Akademický článek
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