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A survey on detection of llms-generated content
The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT
have led to an increase in synthetic content generation with implications across a variety of …
have led to an increase in synthetic content generation with implications across a variety of …
Beyond normal: On the evaluation of mutual information estimators
Mutual information is a general statistical dependency measure which has found
applications in representation learning, causality, domain generalization and computational …
applications in representation learning, causality, domain generalization and computational …
Optimal score estimation via empirical bayes smoothing
We study the problem of estimating the score function of an unknown probability distribution
$\rho^* $ from $ n $ independent and identically distributed observations in $ d …
$\rho^* $ from $ n $ independent and identically distributed observations in $ d …
[PDF][PDF] Statistical optimal transport
Statistical Optimal Transport arxiv:2407.18163v2 [math.ST] 7 Nov 2024 Page 1 Statistical
Optimal Transport Sinho Chewi Yale Jonathan Niles-Weed NYU Philippe Rigollet MIT …
Optimal Transport Sinho Chewi Yale Jonathan Niles-Weed NYU Philippe Rigollet MIT …
[PDF][PDF] To believe or not to believe your llm
We explore uncertainty quantification in large language models (LLMs), with the goal to
identify when uncertainty in responses given a query is large. We simultaneously consider …
identify when uncertainty in responses given a query is large. We simultaneously consider …
Provable guarantees for generative behavior cloning: Bridging low-level stability and high-level behavior
We propose a theoretical framework for studying behavior cloning of complex expert
demonstrations using generative modeling. Our framework invokes low-level controllers …
demonstrations using generative modeling. Our framework invokes low-level controllers …
Unsourced multiple access: A coding paradigm for massive random access
G Liva, Y Polyanskiy - Proceedings of the IEEE, 2024 - ieeexplore.ieee.org
This article is a tutorial introduction to the field of unsourced multiple access (UMAC)
protocols. We first provide a historical survey of the evolution of random access protocols …
protocols. We first provide a historical survey of the evolution of random access protocols …
[PDF][PDF] Treatment effects in market equilibrium
When randomized trials are run in a marketplace equilibriated by prices, interference arises.
To understand the impact on RCT analysis, we build a stochastic model of treatment effects …
To understand the impact on RCT analysis, we build a stochastic model of treatment effects …
Provably robust score-based diffusion posterior sampling for plug-and-play image reconstruction
In a great number of tasks in science and engineering, the goal is to infer an unknown image
from a small number of measurements collected from a known forward model describing …
from a small number of measurements collected from a known forward model describing …
Deterministic-random tradeoff of integrated sensing and communications in Gaussian channels: A rate-distortion perspective
Integrated sensing and communications (ISAC) is recognized as a key enabling technology
for future wireless networks. To shed light on the fundamental performance limits of ISAC …
for future wireless networks. To shed light on the fundamental performance limits of ISAC …