Profils utilisateurs correspondant à "Apratim Dey"
 | Apratim DeyStanford University Adresse e-mail validée de stanford.edu Cité 51 fois |
Inferring the redshift of more than 150 GRBs with a machine-learning ensemble model
Gamma-ray bursts (GRBs), due to their high luminosities, are detected up to a redshift of 10,
and thus have the potential to be vital cosmological probes of early processes in the …
and thus have the potential to be vital cosmological probes of early processes in the …
Detox: Toxic subspace projection for model editing
Recent alignment algorithms such as direct preference optimization (DPO) have been
developed to improve the safety of large language models (LLMs) by training these models to …
developed to improve the safety of large language models (LLMs) by training these models to …
Is model collapse inevitable? breaking the curse of recursion by accumulating real and synthetic data
The proliferation of generative models, combined with pretraining on web-scale data, raises
a timely question: what happens when these models are trained on their own generated …
a timely question: what happens when these models are trained on their own generated …
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
The increasing presence of AI-generated content on the internet raises a critical question:
What happens when generative machine learning models are pretrained on web-scale …
What happens when generative machine learning models are pretrained on web-scale …
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
Recent alignment algorithms such as direct preference optimization (DPO) have been
developed to improve the safety of large language models (LLMs) by training these models to …
developed to improve the safety of large language models (LLMs) by training these models to …
Universality of the Pathway in Avoiding Model Collapse
Researchers in empirical machine learning recently spotlighted their fears of so-called Model
Collapse. They imagined a discard workflow, where an initial generative model is trained …
Collapse. They imagined a discard workflow, where an initial generative model is trained …
Joint convergence of sample cross-covariance matrices
Suppose $X$ and $Y$ are $p\times n$ matrices each with mean $0$, variance $1$ and where
all moments of any order are uniformly bounded as $p,n \to \infty$. Moreover, the entries $…
all moments of any order are uniformly bounded as $p,n \to \infty$. Moreover, the entries $…
[PDF][PDF] Inferring the redshift of more than 150 GRBs with a Machine Learning Ensemble model
Gamma-Ray Bursts (GRBs), due to their high luminosities are detected up to redshift 10, and
thus have the potential to be vital cosmological probes of early processes in the universe. …
thus have the potential to be vital cosmological probes of early processes in the universe. …
[PDF][PDF] Characterization of non-commutative free Gaussian variables
We provide a necessary and sufficient condition, based on zero correlation, for self-adjoint,
freely independent, identically distributed random variables on a∗-probability space to be …
freely independent, identically distributed random variables on a∗-probability space to be …
[PDF][PDF] With big data come big problems: pitfalls in measuring basis risk for crop index insurance
New satellite sensors will soon make it possible to estimate field-level crop yields, showing
a great potential for agricultural index insurance. This paper identifies an important threat to …
a great potential for agricultural index insurance. This paper identifies an important threat to …