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Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
v1v2v3 (latest)

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation

23 April 2025
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
569
15,840
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
106
561
0
15 Dec 2021
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
918
18,495
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
653
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
5,889
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
4,202
0
21 May 2015
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