ParetoFlow: Guided Flows in Multi-Objective Optimization | Paper Citation Record

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This paper cites write newline.

ParetoFlow: Guided Flows in Multi-Objective Optimization write newline

Reference 1

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Observation 39fed17f-ec07-4509-a14d-592cf3bcbec8 · outbound

This paper cites Model-based reinforcement learning for biological sequence design.

ParetoFlow: Guided Flows in Multi-Objective Optimization Model-based reinforcement learning for biological sequence design

Reference 2

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Observation 9edfbe02-d803-484c-8cfe-87c4ed08df56 · outbound

This paper cites Sms-emoa: Multiobjective selection based on dominated hypervolume.

ParetoFlow: Guided Flows in Multi-Objective Optimization Sms-emoa: Multiobjective selection based on dominated hypervolume

Reference 3

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Observation e227ea0e-11dd-49f7-9c31-b7509cf1b4db · outbound

This paper cites Bidirectional learning for offline infinite-width model-based optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Bidirectional learning for offline infinite-width model-based optimization

Reference 4

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Observation 75d678ce-aabd-42b3-bab9-43ea0bd21e7c · outbound

This paper cites Parallel-mentoring for offline model-based optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Parallel-mentoring for offline model-based optimization

Reference 5

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Observation 08a2f3c7-7502-4c24-b2e7-e6b3f14bf268 · outbound

This paper cites Bidirectional learning for offline model-based biological sequence design.

ParetoFlow: Guided Flows in Multi-Objective Optimization Bidirectional learning for offline model-based biological sequence design

Reference 6

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Observation 858dd651-311c-4de5-94d9-ebb7246dd7ee · outbound

This paper cites Structure-aware protein self-supervised learning.

ParetoFlow: Guided Flows in Multi-Objective Optimization Structure-aware protein self-supervised learning

Reference 7

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Observation 06d6482c-3556-4452-b24e-450068b6eed3 · outbound

This paper cites Robust guided diffusion for offline black-box optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Robust guided diffusion for offline black-box optimization

Reference 8

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Observation aec64440-6deb-49fd-bd8e-acf6857a9983 · outbound

This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks.

ParetoFlow: Guided Flows in Multi-Objective Optimization Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks

Reference 9

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Observation 9c37983e-fea7-477d-bb5d-553129c80aec · outbound

This paper cites Normal-boundary intersection: A new method for generating the pareto surface in nonlinear multicriteria optimization problems.

ParetoFlow: Guided Flows in Multi-Objective Optimization Normal-boundary intersection: A new method for generating the pareto surface in nonlinear multicriteria optimization problems

Reference 10

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Observation e33c5a24-fc09-4831-b4e5-c96e82da6bfd · outbound

This paper cites Hypervolume knowledge gradient: a lookahead approach for multi-objective bayesian optimization with partial information.

ParetoFlow: Guided Flows in Multi-Objective Optimization Hypervolume knowledge gradient: a lookahead approach for multi-objective bayesian optimization with partial information

Reference 11

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Observation 2f8d5ec1-45fc-4716-be73-c230c51b1b7c · outbound

This paper cites Differentiable expected hypervolume improvement for parallel multi-objective bayesian optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Differentiable expected hypervolume improvement for parallel multi-objective bayesian optimization

Reference 12

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Observation 3a30d56c-d82c-4f96-be9a-fbca2c46670b · outbound

This paper cites Parallel bayesian optimization of multiple noisy objectives with expected hypervolume improvement.

ParetoFlow: Guided Flows in Multi-Objective Optimization Parallel bayesian optimization of multiple noisy objectives with expected hypervolume improvement

Reference 13

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Observation d2e1a1ef-d495-48eb-b727-9e58b1e86633 · outbound

This paper cites An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part i: solving problems with box constraints.

ParetoFlow: Guided Flows in Multi-Objective Optimization An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part i: solving problems with box constraints

Reference 14

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Observation f7b92bbe-f00e-4921-8813-03936e9ee838 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii.

ParetoFlow: Guided Flows in Multi-Objective Optimization A fast and elitist multiobjective genetic algorithm: Nsga-ii

Reference 15

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Observation 4b3e234e-4c8f-4f7d-8047-2f572405a24d · outbound

This paper cites Diffusion models beat gans on image synthesis.

ParetoFlow: Guided Flows in Multi-Objective Optimization Diffusion models beat gans on image synthesis

Reference 16

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Observation 18fff644-dac5-4127-b8d3-26ff700b50f7 · outbound

This paper cites NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search.

ParetoFlow: Guided Flows in Multi-Objective Optimization NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

Reference 17

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Observation 4ee75754-63de-4565-9890-716698ce82a0 · outbound

This paper cites Portfolio selection, handbook of finance, 2008.

ParetoFlow: Guided Flows in Multi-Objective Optimization Portfolio selection, handbook of finance, 2008

Reference 18

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Observation 1128836f-8ecd-47b1-a06c-7e0ae508b660 · outbound

This paper cites Protgpt2 is a deep unsupervised language model for protein design.

ParetoFlow: Guided Flows in Multi-Objective Optimization Protgpt2 is a deep unsupervised language model for protein design

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:15.833604Z

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Observation f9fced8b-8ac2-4389-b4a9-d86a7939aef8 · outbound

This paper cites Offline model-based optimization via normalized maximum likelihood estimation.

ParetoFlow: Guided Flows in Multi-Objective Optimization Offline model-based optimization via normalized maximum likelihood estimation

Reference 20

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Observation 8af1c650-2ee1-4f6a-9e95-4ce7db17e455 · outbound

This paper cites Protein design with guided discrete diffusion.

ParetoFlow: Guided Flows in Multi-Objective Optimization Protein design with guided discrete diffusion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:15.614751Z

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Observation e54e8899-a604-4d79-9c5c-c9197dbb1121 · outbound

This paper cites Training-free multi-objective diffusion model for 3d molecule generation.

ParetoFlow: Guided Flows in Multi-Objective Optimization Training-free multi-objective diffusion model for 3d molecule generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:15.484211Z

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Observation 6f4cfa73-86a1-4c95-98e4-dea0cea80c3e · outbound

This paper cites Minimal riesz energy point configurations for rectifiable d-dimensional manifolds.

ParetoFlow: Guided Flows in Multi-Objective Optimization Minimal riesz energy point configurations for rectifiable d-dimensional manifolds

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:15.334921Z

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Observation f1b20740-8330-4078-823c-9bff5c8fa425 · outbound

This paper cites Joint entropy search for maximally-informed bayesian optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Joint entropy search for maximally-informed bayesian optimization

Reference 24

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Observation cfc25cb3-de00-4c3c-8429-f5c4482e047e · outbound

This paper cites Multi-objective gflownets.

ParetoFlow: Guided Flows in Multi-Objective Optimization Multi-objective gflownets

Reference 25

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Observation 7c9e62c0-7c17-490d-9400-b6fcc34e4b48 · outbound

This paper cites General binding affinity guidance for diffusion models in structure-based drug design.

ParetoFlow: Guided Flows in Multi-Objective Optimization General binding affinity guidance for diffusion models in structure-based drug design

Reference 26

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Observation c3cc22f6-96bc-4f81-acd3-a86ecee79773 · outbound

This paper cites Multi-objective online learning.

ParetoFlow: Guided Flows in Multi-Objective Optimization Multi-objective online learning

Reference 27

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Observation fb57c683-bc16-4a66-9654-2f90f1795807 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Adam: A Method for Stochastic Optimization

Reference 28

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Observation 07598f7c-9fc9-4e3e-bbe5-ba7072a2f646 · outbound

This paper cites Stochastic differential equations.

ParetoFlow: Guided Flows in Multi-Objective Optimization Stochastic differential equations

Reference 29

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Observation e69456ba-84ec-4377-ba41-8706f17ec3f1 · outbound

This paper cites Diffusion models as constrained samplers for optimization with unknown constraints.

ParetoFlow: Guided Flows in Multi-Objective Optimization Diffusion models as constrained samplers for optimization with unknown constraints

Reference 30

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Observation 6c5fd0fb-fe56-4373-889e-c8ba84126a56 · outbound

This paper cites Voicebox: Text-guided multilingual universal speech generation at scale.

ParetoFlow: Guided Flows in Multi-Objective Optimization Voicebox: Text-guided multilingual universal speech generation at scale

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:14.784697Z

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Observation e68b5a3f-7308-4b41-967c-378cfd3e6c7d · outbound

This paper cites Exploring chemical space with score-based out-of-distribution generation.

ParetoFlow: Guided Flows in Multi-Objective Optimization Exploring chemical space with score-based out-of-distribution generation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:14.654753Z

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Observation 0c76aed7-d458-468d-87bf-10e7d1ffa1b7 · outbound

This paper cites HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark.

ParetoFlow: Guided Flows in Multi-Objective Optimization HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark

Reference 33

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Observation 3cee39b8-1622-4b34-9547-da8f55d9112b · outbound

This paper cites Evolutionary-scale prediction of atomic-level protein structure with a language model.

ParetoFlow: Guided Flows in Multi-Objective Optimization Evolutionary-scale prediction of atomic-level protein structure with a language model

Reference 34

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Observation 62ab7772-ec17-4691-af5d-b570322ffd65 · outbound

This paper cites Flow Matching for Generative Modeling.

ParetoFlow: Guided Flows in Multi-Objective Optimization Flow Matching for Generative Modeling

Reference 35

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Observation e8c661bb-4244-4f80-9aa3-74fbecb6f02b · outbound

This paper cites Neural architecture search as multiobjective optimization benchmarks: Problem formulation and performance assessment.

ParetoFlow: Guided Flows in Multi-Objective Optimization Neural architecture search as multiobjective optimization benchmarks: Problem formulation and performance assessment

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:14.387079Z

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Observation 538027ef-8485-4aec-abb7-48b12dad4aa0 · outbound

This paper cites A survey of weight vector adjustment methods for decomposition-based multiobjective evolutionary algorithms.

ParetoFlow: Guided Flows in Multi-Objective Optimization A survey of weight vector adjustment methods for decomposition-based multiobjective evolutionary algorithms

Reference 37

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Observation 7a589952-a5d2-4f85-ae1e-9a7cc873038e · outbound

This paper cites BOtied: Multi-objective Bayesian optimization with tied multivariate ranks.

ParetoFlow: Guided Flows in Multi-Objective Optimization BOtied: Multi-objective Bayesian optimization with tied multivariate ranks

Reference 38

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Observation bcb56bf5-0917-4b2e-82fa-0ae1f3c82c57 · outbound

This paper cites Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

ParetoFlow: Guided Flows in Multi-Objective Optimization Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 40

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Observation 3f8ffd0b-7c42-43ca-8fbc-6310687856c0 · outbound

This paper cites Data-driven offline decision-making via invariant representation learning.

ParetoFlow: Guided Flows in Multi-Objective Optimization Data-driven offline decision-making via invariant representation learning

Reference 41

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Observation 4492ff90-46b6-4409-8189-21319f2d7a94 · outbound

This paper cites \ PF \ ^2 es: parallel feasible pareto frontier entropy search for multi-objective bayesian optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization \ PF \ ^2 es: parallel feasible pareto frontier entropy search for multi-objective bayesian optimization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:14.040284Z

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Observation fe444b9c-bd58-434a-8a0d-4fccc09227d1 · outbound

This paper cites Local fitness landscape of the green fluorescent protein.

ParetoFlow: Guided Flows in Multi-Objective Optimization Local fitness landscape of the green fluorescent protein

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:13.905807Z

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Observation 4745661b-359f-44b8-8d29-bcf7759a00d5 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

ParetoFlow: Guided Flows in Multi-Objective Optimization Score-Based Generative Modeling through Stochastic Differential Equations

Reference 44

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Observation 95e1666b-7c9a-436c-abb6-41ace861b1b4 · outbound

This paper cites Difusco: Graph-based diffusion solvers for combinatorial optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Difusco: Graph-based diffusion solvers for combinatorial optimization

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:13.774638Z

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Observation 086ae055-b80f-45fd-b829-072b1275ac4d · outbound

This paper cites A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences.

ParetoFlow: Guided Flows in Multi-Objective Optimization A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:14:10.485897Z

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Observation edd431ad-efdc-4bec-b66e-a3fae52ddf9f · outbound

This paper cites An easy-to-use real-world multi-objective optimization problem suite.

ParetoFlow: Guided Flows in Multi-Objective Optimization An easy-to-use real-world multi-objective optimization problem suite

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:13.664820Z

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Observation aa3aedfd-ba91-4728-90bf-aad9abbe76c4 · outbound

This paper cites Mujoco: A physics engine for model-based control.

ParetoFlow: Guided Flows in Multi-Objective Optimization Mujoco: A physics engine for model-based control

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:13.534747Z

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Observation 545725bb-23e7-4d63-97e4-4d3037699a6c · outbound

This paper cites Deep Generative Modeling.

ParetoFlow: Guided Flows in Multi-Objective Optimization Deep Generative Modeling

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:13.410352Z

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Observation bd2d8f8e-3a17-4ad2-bb66-0d7253679a30 · outbound

This paper cites Conservative objective models for effective offline model-based optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Conservative objective models for effective offline model-based optimization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:13.294747Z

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Observation 90a0cb00-2697-4522-b9a2-9c90011c2a98 · outbound

This paper cites Design-bench: Benchmarks for data-driven offline model-based optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Design-bench: Benchmarks for data-driven offline model-based optimization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:13.207551Z

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Observation a2506bba-6a48-4a75-a96c-1a828dc52a04 · outbound

This paper cites Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning.

ParetoFlow: Guided Flows in Multi-Objective Optimization Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:13.122075Z

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Observation 5fcea685-070f-4508-9e1a-8e8d8f02f492 · outbound

This paper cites Localized weighted sum method for many-objective optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Localized weighted sum method for many-objective optimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:13.054749Z

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Observation 00a90d84-1cb7-49d3-b4d0-ec572a9c5973 · outbound

This paper cites Multi-objective deep data generation with correlated property control.

ParetoFlow: Guided Flows in Multi-Objective Optimization Multi-objective deep data generation with correlated property control

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:12.894750Z

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This paper cites Controllable data generation by deep learning: A review.

ParetoFlow: Guided Flows in Multi-Objective Optimization Controllable data generation by deep learning: A review

Reference 55

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ParetoFlow: Guided Flows in Multi-Objective Optimization Offline Multi-Objective Optimization

Reference 56

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This paper cites Proud: Pareto-guided diffusion model for multi-objective generation.

ParetoFlow: Guided Flows in Multi-Objective Optimization Proud: Pareto-guided diffusion model for multi-objective generation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:12.604756Z

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This paper cites Roma: Robust model adaptation for offline model-based optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Roma: Robust model adaptation for offline model-based optimization

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:12.478848Z

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Observation e0f0507f-77fe-414e-86ec-6bd44207974a · outbound

This paper cites Gradient surgery for multi-task learning.

ParetoFlow: Guided Flows in Multi-Objective Optimization Gradient surgery for multi-task learning

Reference 59

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ParetoFlow: Guided Flows in Multi-Objective Optimization Importance-aware co-teaching for offline model-based optimization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:12.275099Z

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Observation 89368285-967f-41e0-a8d0-4d1fc567018d · outbound

This paper cites Design Editing for Offline Model-based Optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Design Editing for Offline Model-based Optimization

Reference 61

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ParetoFlow: Guided Flows in Multi-Objective Optimization Moea/d: A multiobjective evolutionary algorithm based on decomposition

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:12.154755Z

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This paper cites Random hypervolume scalarizations for provable multi-objective black box optimization.

ParetoFlow: Guided Flows in Multi-Objective Optimization Random hypervolume scalarizations for provable multi-objective black box optimization

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:12.003765Z

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Observation d788f4ae-27cc-4f07-87c7-257645c99b3b · outbound

This paper cites Multi-objective Optimization by Learning Space Partitions.

ParetoFlow: Guided Flows in Multi-Objective Optimization Multi-objective Optimization by Learning Space Partitions

Reference 64

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Observation 9bd76f09-bed7-4b47-a982-bc1d5204b77c · outbound

This paper cites Guided Flows for Generative Modeling and Decision Making.

ParetoFlow: Guided Flows in Multi-Objective Optimization Guided Flows for Generative Modeling and Decision Making

Reference 65

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This paper cites Sample-efficient multi-objective molecular optimization with GF lownets.

ParetoFlow: Guided Flows in Multi-Objective Optimization Sample-efficient multi-objective molecular optimization with GF lownets

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:14:11.884822Z

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Observation 24661ee4-e37f-43cf-8b78-905a7cf3bdb7 · outbound

This paper cites @esa (Ref.

ParetoFlow: Guided Flows in Multi-Objective Optimization @esa (Ref

Reference 67

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ParetoFlow: Guided Flows in Multi-Objective Optimization Unresolved cited work

Reference 68

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Observation 5d9318d3-5846-4998-bd0f-8a6a78ee1507 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

ParetoFlow: Guided Flows in Multi-Objective Optimization Movie Gen: A Cast of Media Foundation Models

Reference 69

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