Understanding and analysing microblogs. - Pinar Yanardag Delul (WWW (Companion Volume), 2013)

Crowdsourced Resource-Sizing of Virtual Appliances. - Pinar Yanardag Delul; Rean Griffith; Anne Holler; K. Shankari; Xiaoyun Zhu; Ravi Soundararajan; Adarsh Jagadeeshwaran; Pradeep Padala (IEEE CLOUD, 2014)

The Structurally Smoothed Graphlet Kernel. - Pinar Yanardag; S. V. N. Vishwanathan (CoRR, 2014)

Deep Graph Kernels. - Pinar Yanardag; S. V. N. Vishwanathan (KDD, 2015)

A Structural Smoothing Framework For Robust Graph Comparison. - Pinar Yanardag; S. V. N. Vishwanathan (NIPS, 2015)

WordRank: Learning Word Embeddings via Robust Ranking. - Shihao Ji 001; Hyokun Yun; Pinar Yanardag; Shin Matsushima; S. V. N. Vishwanathan (EMNLP, 2016)

Turning Down the Noise in Classrooms. - Mariheida Cordova-Sanchez; Pinar Yanardag (WWW (Companion Volume), 2016)

Information overload in structured data - Pinar Yanardag Delul (2016)

Shelley: A Crowd-sourced Collaborative Horror Writer. - Pinar Yanardag; Manuel Cebrián; Iyad Rahwan (Creativity & Cognition, 2021)

Nightmare Machine: A Large-Scale Study to Induce Fear Using Artificial Intelligence. - Pinar Yanardag; Nick Obradovich; Manuel Cebrián; Iyad Rahwan (ICCC, 2021)

LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions. - Oguz Kaan Yüksel; Enis Simsar; Ezgi Gülperi Er; Pinar Yanardag (ICCV, 2021)

Graph2Pix: A Graph-Based Image to Image Translation Framework. - Dilara Gokay; Enis Simsar; Efehan Atici; Alper Ahmetoglu; Atif Emre Yüksel; Pinar Yanardag (ICCVW, 2021)

GAN-CNMP: An Interactive Generative Drawing Tool. - S. Ece Ada; M. Yunus Seker; Pinar Yanardag (CoRR, 2021)

Controlled Cue Generation for Play Scripts. - Alara Dirik; Hilal Dönmez; Pinar Yanardag (CoRR, 2021)

Exploring Latent Dimensions of Crowd-sourced Creativity. - Umut Kocasari; Alperen Bag; Efehan Atici; Pinar Yanardag (CoRR, 2021)

MIDISpace: Finding Linear Directions in Latent Space for Music Generation. - Meliksah Turker; Alara Dirik; Pinar Yanardag (Creativity & Cognition, 2022)

PaintInStyle: One-Shot Discovery of Interpretable Directions by Painting. - Berkay Doner; Elif Sema Balcioglu; Merve Rabia Barin; Umut Kocasari; Mert Tiftikci; Pinar Yanardag (CVPR Workshops, 2022)

Rank in Style: A Ranking-based Approach to Find Interpretable Directions. - Umut Kocasari; Kerem Zaman; Mert Tiftikci; Enis Simsar; Pinar Yanardag (CVPR Workshops, 2022)

FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations. - Cemre Karakas; Alara Dirik; Eylul Yalcinkaya; Pinar Yanardag (ECCV (13), 2022)

StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation. - Umut Kocasari; Alara Dirik; Mert Tiftikci; Pinar Yanardag (WACV, 2022)

Discovering Multiple and Diverse Directions for Cognitive Image Properties. - Umut Kocasari; Alperen Bag; Oguz Kaan Yüksel; Pinar Yanardag (CoRR, 2022)

3D-LatentMapper: View Agnostic Single-View Reconstruction of 3D Shapes. - Alara Dirik; Pinar Yanardag (CoRR, 2022)

Text and Image Guided 3D Avatar Generation and Manipulation. - Zehranaz Canfes; M. Furkan Atasoy; Alara Dirik; Pinar Yanardag (WACV, 2023)

Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs. - Enis Simsar; Umut Kocasari; Ezgi Gülperi Er; Pinar Yanardag (WACV, 2023)

NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models. - Yusuf Dalva; Pinar Yanardag (CVPR, 2024)

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models. - Ozgur Kara; Bariscan Kurtkaya; Hidir Yesiltepe; James M. Rehg; Pinar Yanardag (CVPR, 2024)

CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models. - Tuna Han Salih Meral; Enis Simsar; Federico Tombari; Pinar Yanardag (CVPR, 2024)

ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models. - Kiymet Akdemir; Pinar Yanardag (ICCC, 2024)

Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models. - Matthew Zheng; Enis Simsar; Hidir Yesiltepe; Federico Tombari; Joel Simon; Pinar Yanardag Delul (NeurIPS, 2024)

GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models. - Yusuf Dalva; Hidir Yesiltepe; Pinar Yanardag (CoRR, 2024)

MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models. - Hidir Yesiltepe; Kiymet Akdemir; Pinar Yanardag (CoRR, 2024)

CLoRA: A Contrastive Approach to Compose Multiple LoRA Models. - Tuna Han Salih Meral; Enis Simsar; Federico Tombari; Pinar Yanardag (CoRR, 2024)

The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP. - Hidir Yesiltepe; Yusuf Dalva; Pinar Yanardag (CoRR, 2024)

LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors. - Yusuf Dalva; Yijun Li 001; Qing Liu 017; Nanxuan Zhao; Jianming Zhang 001; Zhe Lin 001; Pinar Yanardag (CoRR, 2024)

MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models. - Tuna Han Salih Meral; Hidir Yesiltepe; Connor Dunlop; Pinar Yanardag (CoRR, 2024)

MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance. - Hidir Yesiltepe; Tuna Han Salih Meral; Connor Dunlop; Pinar Yanardag (CoRR, 2024)

FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers. - Yusuf Dalva; Kavana Venkatesh; Pinar Yanardag (CoRR, 2024)

Context Canvas: Enhancing Text-to-Image Diffusion Models with Knowledge Graph-Based RAG. - Kavana Venkatesh; Yusuf Dalva; Ismini Lourentzou; Pinar Yanardag (CoRR, 2024)

PRIMA: Multi-Image Vision-Language Models for Reasoning Segmentation. - Muntasir Wahed; Kiet A. Nguyen; Adheesh Sunil Juvekar; Xinzhuo Li; Xiaona Zhou; Vedant Shah; Tianjiao Yu; Pinar Yanardag; Ismini Lourentzou (CoRR, 2024)

Explaining in Diffusion: Explaining a Classifier Through Hierarchical Semantics with Text-to-Image Diffusion Models. - Tahira Kazimi; Ritika Allada; Pinar Yanardag (CoRR, 2024)

FluxSpace: Disentangled Semantic Editing in Rectified Flow Models. - Yusuf Dalva; Kavana Venkatesh; Pinar Yanardag (CVPR, 2025)

Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics. - Tahira Kazimi; Ritika Allada; Pinar Yanardag (CVPR, 2025)

LoRACLR: Contrastive Adaptation for Customization of Diffusion Models. - Enis Simsar; Thomas Hofmann 001; Federico Tombari; Pinar Yanardag (CVPR, 2025)

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features. - Alec Helbling; Tuna Han Salih Meral; Benjamin Hoover; Pinar Yanardag; Duen Horng Chau (CoRR, 2025)

CREA: A Collaborative Multi-Agent Framework for Creative Content Generation with Diffusion Models. - Kavana Venkatesh; Connor Dunlop; Pinar Yanardag (CoRR, 2025)

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers. - Yusuf Dalva; Hidir Yesiltepe; Pinar Yanardag (CoRR, 2025)

Dynamic View Synthesis as an Inverse Problem. - Hidir Yesiltepe; Pinar Yanardag (CoRR, 2025)

Audit & Repair: An Agentic Framework for Consistent Story Visualization in Text-to-Image Diffusion Models. - Kiymet Akdemir; Tahira Kazimi; Pinar Yanardag (CoRR, 2025)