ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.16003
  4. Cited By
Learning (Very) Simple Generative Models Is Hard

Learning (Very) Simple Generative Models Is Hard

31 May 2022
Sitan Chen
Jungshian Li
Yuanzhi Li
ArXivPDFHTML

Papers citing "Learning (Very) Simple Generative Models Is Hard"

5 / 5 papers shown
Title
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
SQ Lower Bounds for Learning Bounded Covariance GMMs
SQ Lower Bounds for Learning Bounded Covariance GMMs
Ilias Diakonikolas
D. Kane
Thanasis Pittas
Nikos Zarifis
25
0
0
22 Jun 2023
On the average-case complexity of learning output distributions of
  quantum circuits
On the average-case complexity of learning output distributions of quantum circuits
A. Nietner
M. Ioannou
R. Sweke
R. Kueng
Jens Eisert
M. Hinsche
J. Haferkamp
26
11
0
09 May 2023
From Local Pseudorandom Generators to Hardness of Learning
From Local Pseudorandom Generators to Hardness of Learning
Amit Daniely
Gal Vardi
109
30
0
20 Jan 2021
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
62
230
0
25 May 2018
1