Sercan Ö. Arik

114 papers A* 21A 1Journal 78Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey. CoRR Bhavuk Jain, Sercan Ö. Arik, Hardeo Kumar Thakur
2026	J	`jnl`	Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey. Trans. Mach. Learn. Res. Bhavuk Jain, Sercan Ö. Arik, Hardeo Kumar Thakur
2025	J	`jnl`	ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality. CoRR Shayne Longpre, Sneha Kudugunta, Niklas Muennighoff, I-Hung Hsu, Isaac Caswell, Alex Pentland, Sercan Ö. Arik, Chen-Yu Lee, Sayna Ebrahimi
2025	J	`jnl`	An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents. CoRR Bowen Jin, Jinsung Yoon, Priyanka Kargupta, Sercan Ö. Arik, Jiawei Han
2025	—	`conf`	Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models. ACL (1) Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan Ö. Arik
2025	A*	`conf`	BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. ICLR Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
2025	A*	`conf`	CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL. ICLR Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, Sercan Ö. Arik
2025	J	`jnl`	CoDA: Agentic Systems for Collaborative Data Visualization. CoRR Zichen Chen, Jiefeng Chen, Sercan Ö. Arik, Misha Sra, Tomas Pfister, Jinsung Yoon
2025	—	`conf`	Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling. ACL (Findings) Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik
2025	J	`jnl`	DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling. CoRR Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan Ö. Arik
2025	—	`conf`	Embedding-Converter: A Unified Framework for Cross-Model Embedding Transformation. ACL (1) Jinsung Yoon, Sercan Ö. Arik
2025	—	`conf`	FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series. EMNLP (Findings) Gunjan Jalori, Preetika Verma, Sercan Ö. Arik
2025	J	`jnl`	FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series. CoRR Gunjan Jalori, Preetika Verma, Sercan Ö. Arik
2025	A*	`conf`	From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation. ICLR Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan Ö. Arik
2025	J	`jnl`	From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation. CoRR Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Sercan Ö. Arik
2025	A*	`conf`	LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. ICML Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025	J	`jnl`	LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. CoRR Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025	J	`jnl`	LLM-Guided Self-Supervised Tabular Learning With Task-Specific Pre-text Tasks. Trans. Mach. Learn. Res. Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan Ö. Arik, Jinsung Yoon
2025	A*	`conf`	Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments. ICLR Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arik
2025	J	`jnl`	Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments. CoRR Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arik
2025	A*	`conf`	Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. ICLR Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan Ö. Arik
2025	A*	`conf`	Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. ICLR Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Ö. Arik
2025	J	`jnl`	MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement. CoRR Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan Ö. Arik, Tomas Pfister
2025	J	`jnl`	Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration. CoRR Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Rajarishi Sinha, Sercan Ö. Arik
2025	A*	`conf`	Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment. ICLR Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister
2025	J	`jnl`	Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies. CoRR Han Zhou, Xingchen Wan, Ruoxi Sun, Hamid Palangi, Shariq Iqbal, Ivan Vulic, Anna Korhonen, Sercan Ö. Arik
2025	J	`jnl`	Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL. CoRR Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun, Xingchen Wan, Hailong Li, Azalia Mirhoseini, Amin Saberi, Sercan Ö. Arik
2025	A*	`conf`	Retrieval Augmented Time Series Forecasting. ICML Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan Ö. Arik, Jinsung Yoon
2025	J	`jnl`	Retrieval Augmented Time Series Forecasting. CoRR Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan Ö. Arik, Jinsung Yoon
2025	J	`jnl`	SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling. CoRR Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Sercan Ö. Arik
2025	J	`jnl`	SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling. Trans. Mach. Learn. Res. Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik
2025	—	`conf`	SQUARE: Unsupervised Retrieval Adaptation via Synthetic Data. EMNLP (Findings) Jinsung Yoon, Junhao Zeng, Sercan Ö. Arik
2025	J	`jnl`	VISTA: A Test-Time Self-Improving Video Generation Agent. CoRR Do Xuan Long, Xingchen Wan, Hootan Nakhost, Chen-Yu Lee, Tomas Pfister, Sercan Ö. Arik
2024	J	`jnl`	ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. Trans. Mach. Learn. Res. Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
2024	J	`jnl`	Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models. CoRR Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan Ö. Arik
2024	J	`jnl`	BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. CoRR Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
2024	J	`jnl`	CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL. CoRR Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, Sercan Ö. Arik
2024	J	`jnl`	CROME: Cross-Modal Adapters for Efficient Multimodal LLM. CoRR Sayna Ebrahimi, Sercan Ö. Arik, Tejas Nama, Tomas Pfister
2024	A*	`conf`	Chain of Agents: Large Language Models Collaborating on Long-Context Tasks. NeurIPS Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arik
2024	J	`jnl`	Chain of Agents: Large Language Models Collaborating on Long-Context Tasks. CoRR Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arik
2024	J	`jnl`	Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling. CoRR Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik
2024	—	`conf`	Effective Large Language Model Adaptation for Improved Grounding and Citation Generation. NAACL-HLT Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2024	A*	`conf`	Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning. ICML Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2024	J	`jnl`	Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning. CoRR Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2024	J	`jnl`	Learned Feature Importance Scores for Automated Feature Engineering. CoRR Yihe Dong, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
2024	J	`jnl`	Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. CoRR Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2024	J	`jnl`	Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. CoRR Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Ö. Arik
2024	J	`jnl`	Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. CoRR Jinsung Yoon, Rajarishi Sinha, Sercan Ö. Arik, Tomas Pfister
2024	J	`jnl`	Mitigating Object Hallucination via Data Augmented Contrastive Tuning. CoRR Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister
2024	J	`jnl`	Provable Membership Inference Privacy. Trans. Mach. Learn. Res. Zachary Izzo, Jinsung Yoon, Sercan Ö. Arik, James Zou
2024	J	`jnl`	SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging. CoRR Mohammadreza Pourreza, Ruoxi Sun, Hailong Li, Lesly Miculicich, Tomas Pfister, Sercan Ö. Arik
2024	J	`jnl`	SQL-PaLM: Improved large language model adaptation for Text-to-SQL. Trans. Mach. Learn. Res. Ruoxi Sun, Sercan Ö. Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister
2024	—	`conf`	Search-Adaptor: Embedding Customization for Information Retrieval. ACL (1) Jinsung Yoon, Yanfei Chen, Sercan Ö. Arik, Tomas Pfister
2024	A*	`conf`	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. ICLR Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
2024	A*	`conf`	Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization. NeurIPS Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arik
2024	J	`jnl`	Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization. CoRR Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arik
2024	—	`conf`	TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. ACL (Findings) James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023	J	`jnl`	ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. CoRR Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
2023	—	`conf`	Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. EMNLP (Findings) Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha
2023	J	`jnl`	Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. CoRR Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha
2023	—	`conf`	Better Zero-Shot Reasoning with Self-Adaptive Prompting. ACL (Findings) Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	Better Zero-Shot Reasoning with Self-Adaptive Prompting. CoRR Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	Business Metric-Aware Forecasting for Inventory Management. CoRR Helen Zhou, Sercan Ö. Arik, Jingtao Wang
2023	J	`jnl`	COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. CoRR Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023	A*	`conf`	Data-Efficient and Interpretable Tabular Anomaly Detection. KDD Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2023	J	`jnl`	EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records. npj Digit. Medicine Jinsung Yoon, Michel J. Mizrahi, Nahid Farhady Ghalaty, Thomas Jarvinen, Ashwin S. Ravi, Peter Brune, Fanyu Kong, Dave Anderson, George Lee, Arie Meir, Farhana Bandukwala, Elli Kanal, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	Effective Large Language Model Adaptation for Improved Grounding. CoRR Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	Interpretable Mixture of Experts. Trans. Mach. Learn. Res. Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2023	J	`jnl`	Invariant Structure Learning for Better Generalization and Causal Explainability. Trans. Mach. Learn. Res. Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
2023	A*	`conf`	Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts. ICLR Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
2023	J	`jnl`	LANISTR: Multimodal Learning from Structured and Unstructured Data. CoRR Sayna Ebrahimi, Sercan Ö. Arik, Yihe Dong, Tomas Pfister
2023	A*	`conf`	Neural Spline Search for Quantile Probabilistic Modeling. AAAI Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister
2023	J	`jnl`	Neural Spline Search for Quantile Probabilistic Modeling. CoRR Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister
2023	J	`jnl`	PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series. CoRR Nicasia Beebe-Wang, Sayna Ebrahimi, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	SLM: End-to-end Feature Selection via Sparse Learnable Masks. CoRR Yihe Dong, Sercan Ö. Arik
2023	J	`jnl`	SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. Trans. Mach. Learn. Res. Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL. CoRR Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister
2023	—	`conf`	SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. EMNLP (Findings) Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2023	J	`jnl`	SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. CoRR Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2023	J	`jnl`	Search-Adaptor: Text Embedding Customization for Information Retrieval. CoRR Jinsung Yoon, Sercan Ö. Arik, Yanfei Chen, Tomas Pfister
2023	J	`jnl`	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. CoRR Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
2023	J	`jnl`	TSMixer: An All-MLP Architecture for Time Series Forecast-ing. Trans. Mach. Learn. Res. Si-An Chen, Chun-Liang Li, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
2023	J	`jnl`	TSMixer: An all-MLP Architecture for Time Series Forecasting. CoRR Si-An Chen, Chun-Liang Li, Nate Yoder, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	Test-Time Adaptation for Visual Document Understanding. Trans. Mach. Learn. Res. Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents. CoRR James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023	A*	`conf`	Universal Self-Adaptive Prompting. EMNLP Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	Universal Self-adaptive Prompting. CoRR Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan Ö. Arik, Tomas Pfister
2022	J	`jnl`	Algorithmic fairness in pandemic forecasting: lessons from COVID-19. npj Digit. Medicine Thomas C. Tsai, Sercan Ö. Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham, Tomas Pfister
2022	J	`jnl`	Data-Efficient and Interpretable Tabular Anomaly Detection. CoRR Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2022	A	`conf`	Decoupling Local and Global Representations of Time Series. AISTATS Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
2022	J	`jnl`	Decoupling Local and Global Representations of Time Series. CoRR Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
2022	J	`jnl`	Interpretable Mixture of Experts for Structured Data. CoRR Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2022	J	`jnl`	Invariant Structure Learning for Better Generalization and Causal Explainability. CoRR Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
2022	J	`jnl`	Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts. CoRR Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
2022	J	`jnl`	LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling. Trans. Mach. Learn. Res. Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2022	A*	`conf`	Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. AAAI Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister
2022	J	`jnl`	Provable Membership Inference Privacy. CoRR Zachary Izzo, Jinsung Yoon, Sercan Ö. Arik, James Zou
2022	J	`jnl`	SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. CoRR Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
2022	J	`jnl`	Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series. CoRR Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
2022	A*	`conf`	Self-Supervised Learning with an Information Maximization Criterion. NeurIPS Serdar Ozsoy, Shadi Hamdan, Sercan Ö. Arik, Deniz Yuret, Alper T. Erdogan
2022	J	`jnl`	Self-Supervised Learning with an Information Maximization Criterion. CoRR Serdar Ozsoy, Shadi Hamdan, Sercan Ö. Arik, Deniz Yuret, Alper T. Erdogan
2022	J	`jnl`	Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection. Trans. Mach. Learn. Res. Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
2022	J	`jnl`	Test-Time Adaptation for Visual Document Understanding. CoRR Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister
2021	J	`jnl`	A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister
2021	A*	`conf`	Controlling Neural Networks with Rule Representations. NeurIPS Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
2021	J	`jnl`	Controlling Neural Networks with Rule Representations. CoRR Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
2021	J	`jnl`	Self-Trained One-class Classification for Unsupervised Anomaly Detection. CoRR Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
2021	A*	`conf`	TabNet: Attentive Interpretable Tabular Learning. AAAI Sercan Ö. Arik, Tomas Pfister
2020	J	`jnl`	Explaining Deep Neural Networks using Unsupervised Clustering. CoRR Yu-Han Liu, Sercan Ö. Arik
2018	J	`jnl`	Scaling SDM Optical Networks Using Full-Spectrum Spatial Switching. JOCN Alaelson C. Jatoba-Neto, Darli A. A. Mello, Christian Esteve Rothenberg, Sercan Ö. Arik, Joseph M. Kahn
2017	—	`conf`	Optical MIMO signal processing for direct-detection mode-division multiplexing. ICTON Karthik Choutagunta, Sercan Ö. Arik, Mehrad Moradshahi, Joseph M. Kahn
2014	—	`conf`	Comparison of quaternary block-coding and sphere-cutting for high-dimensional modulation. OFC David S. Millar, Toshiaki Koike-Akino, Sercan Ö. Arik, Keisuke Kojima, Kieran Parsons
2014	—	`conf`	High-dimensional modulation for mode-division multiplexing. OFC Sercan Ö. Arik, David S. Millar, Toshiaki Koike-Akino, Keisuke Kojima, Kieran Parsons
2014	J	`jnl`	Supervised classification-based stock prediction and portfolio optimization. CoRR Sercan Ö. Arik, Sukru Burc Eryilmaz, Adam Goldberg