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pro vyhledávání: '"Romanelli, Marco"'
This paper tackles the challenge of detecting unreliable behavior in regression algorithms, which may arise from intrinsic variability (e.g., aleatoric uncertainty) or modeling errors (e.g., model uncertainty). First, we formally introduce the notion
Externí odkaz:
http://arxiv.org/abs/2406.06968
Autor:
Das, Saswat, Romanelli, Marco, Tran, Cuong, Reza, Zarreen, Kailkhura, Bhavya, Fioretto, Ferdinando
Low-rank approximation techniques have become the de facto standard for fine-tuning Large Language Models (LLMs) due to their reduced computational and memory requirements. This paper investigates the effectiveness of these methods in capturing the s
Externí odkaz:
http://arxiv.org/abs/2405.18572
Autor:
Pichler, Georg, Romanelli, Marco, Manivannan, Divya Prakash, Krishnamurthy, Prashanth, Khorrami, Farshad, Garg, Siddharth
We introduce a formal statistical definition for the problem of backdoor detection in machine learning systems and use it to analyze the feasibility of such problems, providing evidence for the utility and applicability of our definition. The main co
Externí odkaz:
http://arxiv.org/abs/2402.16926
This paper explores a scenario in which a malicious actor employs a multi-armed attack strategy to manipulate data samples, offering them various avenues to introduce noise into the dataset. Our central objective is to protect the data by detecting a
Externí odkaz:
http://arxiv.org/abs/2402.15808
Ensuring privacy-preserving inference on cryptographically secure data is a well-known computational challenge. To alleviate the bottleneck of costly cryptographic computations in non-linear activations, recent methods have suggested linearizing a ta
Externí odkaz:
http://arxiv.org/abs/2402.03629
Autor:
Romanelli, Marco, Corni, Stefano
Strong light-matter coupling between molecules and plasmonic nanoparticles give rise to new hybrid eigenstates of the coupled system, commonly referred to as polaritons, or more precisely, plexcitons. Over the last decade it has been amply shown that
Externí odkaz:
http://arxiv.org/abs/2402.01846
Logic synthesis, a pivotal stage in chip design, entails optimizing chip specifications encoded in hardware description languages like Verilog into highly efficient implementations using Boolean logic gates. The process involves a sequential applicat
Externí odkaz:
http://arxiv.org/abs/2401.12205
Misclassification detection is an important problem in machine learning, as it allows for the identification of instances where the model's predictions are unreliable. However, conventional uncertainty measures such as Shannon entropy do not provide
Externí odkaz:
http://arxiv.org/abs/2306.01710
Electronic Energy Transfer (EET) between chromophores is fundamental in many natural light-harvesting complexes, serving as a critical step for solar energy funneling in photosynthetic plants and bacteria. The complicated role of the environment in m
Externí odkaz:
http://arxiv.org/abs/2305.17265