Empiric

This article presents an empirical study on the effectiveness and transferability of typographic attacks against major Vision-LLMs using AD-specific datasets. 

Empirical Study: Evaluating Typographic Attack Effectiveness Against Vision-LLMs in AD Systems

This article explores the concept of regret in empirical Bayes, specifically in the context of the Tweedie oracle rule.

The Tweedie Oracle and Regret Bounds in Empirical Bayes Methods

A flexible approach that allows for nonparametric estimation of location and scale effects, providing a more reliable way to predict income trajectories

Modeling Income Trajectories: An Empirical Bayes Approach to Panel Data

Discussing key concepts like partial identification and the transformation of binomial models to the Gaussian framework.

Beyond Gaussian Mixtures: Applying Empirical Bayes to Discrete Data Problems

This article explores variations on the James-Stein estimator, focusing on the Efron-Morris rule and its implications for shrinkage in statistical analysis.

The Efron-Morris Rule: A Practical Application of the Empirical Bayes Paradigm

This article explores the fundamental concepts of Empirical Bayes, focusing on simple, symmetric separable decision rules.

Robbins' Rules: Understanding Separable Decision Rules in Empirical Bayes

This tutorial introduces the principles of Empirical Bayes and its frequentist interpretation, with an emphasis on modern nonparametric maximum likelihood

Empirical Bayes Methods for Compound Decision Problems: Principles and Applications

Over $11.2B in assets were found locked in vulnerable Ethereum contracts. This study breaks down key behavioral, activity, and financial risk patterns.

Empirical Analysis of Vulnerable Ethereum Smart Contracts and Their Financial Impact

IFRP-T2P is tested on KITTI360Pose to retrieve and localize 3D scenes. We cover data setup, training configs, and model details for reproducibility.

Empirical Evaluation of the IFRP-T2P Model Using the KITTI360Pose Dataset

A study on an Algorand arbitrage algorithm reveals fierce MEV competition, proving opportunities must be captured intra-block, not on finalized states.

Is There Any MEV Left on Algorand? An Empirical Study on Time-Constrained Arbitrage

These experiments with GPT-2 medium on OpenWebText validate the radius hypothesis from the theoretical framework.

Empirical Results: GPT-2 Analysis of Transformer Memorization & Loss

Explore extensive large-scale experiments demonstrating the efficacy of multi-token prediction in improving LLM performance across model sizes

Empirical Validation of Multi-Token Prediction for LLMs

CLLMs show 2-6.8x improvements in fast-forwarded/stationary tokens. Ablations reveal dataset size, sequence length, and loss design impact performance.

Empirical Analysis of CLLM Acceleration Mechanisms and Hyperparameter Sensitivity

Analysis of inscription transactions on Ethereum and EVM rollups, highlighting token operations, transaction spikes, and trading dynamics.

Empirical Analysis of Inscriptions on Ethereum and EVM-Compatible Rollups

Discover how empirical robustness in macroeconomic modeling hinges on parameter selection, addressing uncertainty, and refining the Phillips curve. 

Empirical Robustness and Parameter Selection in Macroeconomic Modeling 

This paper reviews empirical research on the impact of gender and other factors on pair programming outcomes. 

Examining Gender Bias in Pair Programming: Insights from Empirical Studies

AccentFold improves speech recognition for African accents by leveraging linguistic embeddings, revealing phonological patterns and enhancing ASR adaptation.

AccentFold: Enhancing Accent Recognition - Empirical Study of AccentFold

Optimally delivering prebunks minimizes misinformation spread. Algorithm 3 outperforms baselines in simulations, though real-world deviations exist.

Empirical Success in Prebunking

This paper is an empirical analyses of preference manipulation in recommender systems, comparing commercial platforms like amazon with non-commercial iterations

Empirical Insights into Preference Manipulation

In this paper, we model POMDPs as stochastic contingent planning problems. This allows us to leverage domain-independent heuristics.

Rollout Heuristics for Online Stochastic Contingent Planning: Empirical Evaluation

Gain insights into the practical challenges faced by developers when using GitHub Copilot through a systematic empirical study.

GitHub Copilot in Practice: Empirical Insights into User Experiences and Practical Challenges

We propose a novel framework facilitating effective collaboration of a legal expert with a large language model (LLM) for generating initial codes 

How to Use Large Language Models to Support Thematic Analysis in Empirical Legal Studies

From worst-case bias to variance trade-offs, discover how these algorithms outperform competitors in both empirical and numerical studies. 

Design of Cluster Experiments: Empirical Illustration and Numerical Studies

While there is no dearth of learning resources on this topic, only a few of them could couple the theoretical and empirical parts together and be intuitive enough. The reason&nbsp;?? I guess we don’t transfer the knowledge in the exact way we store it in our minds. I believe that presenting complex topics in simple ways is an art, so lets master it.

Transfer Learning : Approaches and Empirical Observations

SaaS

We help SaaS companies struggling to build a foundation in the enterprise s...

EMPIRIC

www.getempiric.com

2-10 emps

Since 2005

Empiric's stories on HackerNoon

Empirical Study: Evaluating Typographic Attack Effectiveness Against Vision-LLMs in AD Systems

The Tweedie Oracle and Regret Bounds in Empirical Bayes Methods

Modeling Income Trajectories: An Empirical Bayes Approach to Panel Data

Beyond Gaussian Mixtures: Applying Empirical Bayes to Discrete Data Problems

The Efron-Morris Rule: A Practical Application of the Empirical Bayes Paradigm

Robbins' Rules: Understanding Separable Decision Rules in Empirical Bayes

Empirical Bayes Methods for Compound Decision Problems: Principles and Applications

Empirical Analysis of Vulnerable Ethereum Smart Contracts and Their Financial Impact

Empirical Evaluation of the IFRP-T2P Model Using the KITTI360Pose Dataset

Is There Any MEV Left on Algorand? An Empirical Study on Time-Constrained Arbitrage

Empirical Results: GPT-2 Analysis of Transformer Memorization & Loss

Empirical Validation of Multi-Token Prediction for LLMs

Empirical Analysis of CLLM Acceleration Mechanisms and Hyperparameter Sensitivity

Empirical Analysis of Inscriptions on Ethereum and EVM-Compatible Rollups

Empirical Robustness and Parameter Selection in Macroeconomic Modeling

Examining Gender Bias in Pair Programming: Insights from Empirical Studies

AccentFold: Enhancing Accent Recognition - Empirical Study of AccentFold

Empirical Success in Prebunking

Empirical Insights into Preference Manipulation

Rollout Heuristics for Online Stochastic Contingent Planning: Empirical Evaluation

GitHub Copilot in Practice: Empirical Insights into User Experiences and Practical Challenges

How to Use Large Language Models to Support Thematic Analysis in Empirical Legal Studies

Design of Cluster Experiments: Empirical Illustration and Numerical Studies

Transfer Learning : Approaches and Empirical Observations

Representing this company? Click here to claim and customize this page!

Reviews About Empiric

Empiric WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps