Universality of the $π^2/6$ Pathway in Avoiding Model Collapse
Fuente:
arXiv
Saved in:
| Main Authors: | Dey, Apratim, Donoho, David |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
by: Gerstgrasser, Matthias, et al.
Published: (2024)
by: Gerstgrasser, Matthias, et al.
Published: (2024)
A Statistical Analysis for Per-Instance Evaluation of Stochastic Optimizers: Avoiding Unreliable Conclusions
by: Noori, Moslem, et al.
Published: (2025)
by: Noori, Moslem, et al.
Published: (2025)
Breaking QAOA's Fixed Target Hamiltonian Barrier: A Fully Connected Quantum Boltzmann Machine via Bilevel Optimization
by: Liu, Jun
Published: (2026)
by: Liu, Jun
Published: (2026)
From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting
by: Demosthenous, Giorgos, et al.
Published: (2025)
by: Demosthenous, Giorgos, et al.
Published: (2025)
Feature Importance Guided Random Forest Learning with Simulated Annealing Based Hyperparameter Tuning
by: Balasubramanian, Kowshik, et al.
Published: (2025)
by: Balasubramanian, Kowshik, et al.
Published: (2025)
Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation
by: Guan, Hao, et al.
Published: (2025)
by: Guan, Hao, et al.
Published: (2025)
Hyper-Compression: Model Compression via Hyperfunction
by: Fan, Fenglei, et al.
Published: (2024)
by: Fan, Fenglei, et al.
Published: (2024)
Auditing an Automatic Grading Model with deep Reinforcement Learning
by: Condor, Aubrey, et al.
Published: (2024)
by: Condor, Aubrey, et al.
Published: (2024)
CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis
by: Vijayaraghavan, Prashanth, et al.
Published: (2024)
by: Vijayaraghavan, Prashanth, et al.
Published: (2024)
SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis
by: Liu, Yu, et al.
Published: (2025)
by: Liu, Yu, et al.
Published: (2025)
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction
by: Huang, Yin, et al.
Published: (2024)
by: Huang, Yin, et al.
Published: (2024)
XBTorch: A Unified Framework for Modeling and Co-Design of Crossbar-Based Deep Learning Accelerators
by: Yousuf, Osama, et al.
Published: (2026)
by: Yousuf, Osama, et al.
Published: (2026)
Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
by: Borazjani, Kasra, et al.
Published: (2025)
by: Borazjani, Kasra, et al.
Published: (2025)
Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage
by: Cao, Ben, et al.
Published: (2024)
by: Cao, Ben, et al.
Published: (2024)
M2RU: Memristive Minion Recurrent Unit for On-Chip Continual Learning at the Edge
by: Zyarah, Abdullah M., et al.
Published: (2025)
by: Zyarah, Abdullah M., et al.
Published: (2025)
Exploring the Decentraland Economy: Multifaceted Parcel Attributes, Key Insights, and Benchmarking
by: Jha, Dipika, et al.
Published: (2024)
by: Jha, Dipika, et al.
Published: (2024)
Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)
Intrinsic Voltage Offsets in Memcapacitive Bio-Membranes Enable High-Performance Physical Reservoir Computing
by: Mohamed, Ahmed S., et al.
Published: (2024)
by: Mohamed, Ahmed S., et al.
Published: (2024)
Road User Classification from High-Frequency GNSS Data Using Distributed Edge Intelligence
by: Köpper, Lennart, et al.
Published: (2024)
by: Köpper, Lennart, et al.
Published: (2024)
Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network
by: Zhao, Yunyi, et al.
Published: (2024)
by: Zhao, Yunyi, et al.
Published: (2024)
Quadratic Binary Optimization with Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)
by: Eliasof, Moshe, et al.
Published: (2024)
Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing
by: Ye, Nanyang, et al.
Published: (2024)
by: Ye, Nanyang, et al.
Published: (2024)
Confidence Interval Estimation of Predictive Performance in the Context of AutoML
by: Paraschakis, Konstantinos, et al.
Published: (2024)
by: Paraschakis, Konstantinos, et al.
Published: (2024)
Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks
by: Zhao, Mengjie, et al.
Published: (2024)
by: Zhao, Mengjie, et al.
Published: (2024)
The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks
by: Chou, Shih-Kai, et al.
Published: (2024)
by: Chou, Shih-Kai, et al.
Published: (2024)
The Impact of Feature Representation on the Accuracy of Photonic Neural Networks
by: de Queiroz, Mauricio Gomes, et al.
Published: (2024)
by: de Queiroz, Mauricio Gomes, et al.
Published: (2024)
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
by: Zhang, Hanwen, et al.
Published: (2024)
by: Zhang, Hanwen, et al.
Published: (2024)
ProcessTBench: An LLM Plan Generation Dataset for Process Mining
by: Redis, Andrei Cosmin, et al.
Published: (2024)
by: Redis, Andrei Cosmin, et al.
Published: (2024)
Self-Supervised Learning for Time Series: Contrastive or Generative?
by: Liu, Ziyu, et al.
Published: (2024)
by: Liu, Ziyu, et al.
Published: (2024)
TeMPO: Efficient Time-Multiplexed Dynamic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator
by: Zhang, Meng, et al.
Published: (2024)
by: Zhang, Meng, et al.
Published: (2024)
Few-Shot Testing: Estimating Uncertainty of Memristive Deep Neural Networks Using One Bayesian Test Vector
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)
DOCTOR: Dynamic On-Chip Temporal Variation Remediation Toward Self-Corrected Photonic Tensor Accelerators
by: Lu, Haotian, et al.
Published: (2024)
by: Lu, Haotian, et al.
Published: (2024)
Hardware-Adaptive and Superlinear-Capacity Memristor-based Associative Memory
by: He, Chengping, et al.
Published: (2025)
by: He, Chengping, et al.
Published: (2025)
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions
by: Koksalmis, Gulsah Hancerliogullari, et al.
Published: (2025)
by: Koksalmis, Gulsah Hancerliogullari, et al.
Published: (2025)
LLMs meet Federated Learning for Scalable and Secure IoT Management
by: Otoum, Yazan, et al.
Published: (2025)
by: Otoum, Yazan, et al.
Published: (2025)
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence
by: Tan, Zheng, et al.
Published: (2025)
by: Tan, Zheng, et al.
Published: (2025)
CORPGEN: Simulating Corporate Environments with Autonomous Digital Employees in Multi-Horizon Task Environments
by: Jaye, Abubakarr, et al.
Published: (2026)
by: Jaye, Abubakarr, et al.
Published: (2026)
LPCVAE: A Conditional VAE with Long-Term Dependency and Probabilistic Time-Frequency Fusion for Time Series Anomaly Detection
by: Cheng, Hanchang, et al.
Published: (2025)
by: Cheng, Hanchang, et al.
Published: (2025)
Self Distillation via Iterative Constructive Perturbations
by: Dave, Maheak, et al.
Published: (2025)
by: Dave, Maheak, et al.
Published: (2025)
Physical Simulators as Do-Operators: Causal Discovery under Latent Confounders for AI-for-Science
by: Okita, Tsuyoshi
Published: (2026)
by: Okita, Tsuyoshi
Published: (2026)
Similar Items
-
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
by: Gerstgrasser, Matthias, et al.
Published: (2024) -
A Statistical Analysis for Per-Instance Evaluation of Stochastic Optimizers: Avoiding Unreliable Conclusions
by: Noori, Moslem, et al.
Published: (2025) -
Breaking QAOA's Fixed Target Hamiltonian Barrier: A Fully Connected Quantum Boltzmann Machine via Bilevel Optimization
by: Liu, Jun
Published: (2026) -
From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting
by: Demosthenous, Giorgos, et al.
Published: (2025) -
Feature Importance Guided Random Forest Learning with Simulated Annealing Based Hyperparameter Tuning
by: Balasubramanian, Kowshik, et al.
Published: (2025)