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Experimental Design

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/tomoleary/hessianlearn

공식 코드

Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive Residual Networks

https://github.com/trsav/hitl-bo

공식 코드

Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems

https://github.com/tsudalab/POPSL

공식 코드

Preference-Optimized Pareto Set Learning for Blackbox Optimization

https://github.com/tueboesen/a-optimal-active-learning

공식 코드

A-Optimal Active Learning

https://github.com/tung-nd/expt

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ExPT: Synthetic Pretraining for Few-Shot Experimental Design

https://github.com/tzler/mochi_code

공식 코드

Evaluating Multiview Object Consistency in Humans and Image Models

https://github.com/uds-lsv/xrsa-awes

공식 코드

How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings

https://github.com/uhlerlab/actlearn_optint

공식 코드

Active Learning for Optimal Intervention Design in Causal Models

https://github.com/uio-bmi/causalairr

공식 코드

Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics

https://github.com/ukuhl/plausiblealienzoo

공식 코드

Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting

https://github.com/unc-optimization/FWPN

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A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization

https://github.com/vardhah/constraintbouuvhulldesign

공식 코드

Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Design

https://github.com/vertaix/quality-weighted-vendi-score

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Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design

https://github.com/vinh-tr-hoang/doeviapace

공식 코드

Scalable method for Bayesian experimental design without integrating over posterior distribution

https://github.com/vribeiro1/skin-lesion-segmentation-agreement

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Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation

https://github.com/wenshuoguo/inverse-bandit-code-release

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Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits

https://github.com/willieneis/bayesian-algorithm-execution

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Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information

https://github.com/xanaduai/qml-benchmarks

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Better than classical? The subtle art of benchmarking quantum machine learning models

https://github.com/xaqlab/inferringinference

공식 코드

Inferring Inference

https://github.com/yannadani/DiffCBED

공식 코드

Differentiable Multi-Target Causal Bayesian Experimental Design

https://github.com/yannadani/cbed

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Interventions, Where and How? Experimental Design for Causal Models at Scale

https://github.com/yasirbarlas/RL-BOED

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Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design

https://github.com/yong-cai/matrixhte

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Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices

https://github.com/zavalab/bayesianopt

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New Paradigms for Exploiting Parallel Experiments in Bayesian Optimization

https://github.com/ziq-ao/GradEIG

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On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design

https://github.com/ziq-ao/LBKLD_estimator

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An approximate KLD based experimental design for models with intractable likelihoods

https://github.com/zokaraa/autonomous_simulation_agent

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Toward Automated Simulation Research Workflow through LLM Prompt Engineering Design

https://gitlab.com/gsagnol/qlasso

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Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation

https://gitlab.com/sphelps/llm-cooperation

공식 코드

The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?

https://git.rwth-aachen.de/bcs/projects/tp/multiclass-yeast-seg

Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning

https://github.com/2019020826/SDSMCMC

Learning a nonlinear dynamical system model of gene regulation: A perturbed steady-state approach

https://github.com/Brendan-Reid1991/CFD-Algorithms

Quadratic Unconstrained Binary Optimization Problem Preprocessing: Theory and Empirical Analysis

https://github.com/BruntonUWBio/mining2021

Investigating naturalistic hand movements by behavior mining in long-term video and neural recordings

https://github.com/CS-433/cs-433-project-2-fesenjoon

On Warm-Starting Neural Network Training

https://github.com/PKU-DAIR/mindware

OpenBox: A Generalized Black-box Optimization Service

https://github.com/PennyLaneAI/pennylane

Better than classical? The subtle art of benchmarking quantum machine learning models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.