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Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
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Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation

Rahul Vishwakarma
Shrey Dharmendra Modi
Vishwanath Seshagiri
ArXiv (abs)PDFHTML

Papers citing "Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation"

11 / 11 papers shown
Title
Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL
Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL
Vishwanath Seshagiri
Siddharth Balyan
Vaastav Anand
Kaustubh Dhole
Ishan Sharma
Avani Wildani
José Cambronero
Andreas Züfle
147
2
0
04 Dec 2024
Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection
Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection
Rahul Vishwakarma
Amin Rezaei
100
6
0
14 Oct 2023
Conformal Prediction with Temporal Quantile Adjustments
Conformal Prediction with Temporal Quantile Adjustments
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
AI4TS
125
19
0
20 May 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
564
15,835
0
20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao
Karsten Kreis
Arash Vahdat
DiffM
104
561
0
15 Dec 2021
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
890
18,457
0
19 Jun 2020
Classification with Valid and Adaptive Coverage
Classification with Valid and Adaptive Coverage
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
397
329
0
03 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
629
10,591
0
17 Feb 2020
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
301
5,882
0
14 Jun 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
194
4,836
0
26 Jan 2017
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
362
4,201
0
21 May 2015

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