Horst Samulowitz

118 papers A* 24A 19B 5C 2Misc 1Journal 49Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Control Center for Data Product Optimization. CoRR Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai, Ken C. L. Wong, Md. Faisal Mahbub Chowdhury, Horst Samulowitz
2026	J	`jnl`	Automatic Prompt Engineering with No Task Cues and No Tuning. CoRR Md. Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya, Niharika S. D'Souza, Horst Samulowitz, Neeru Gupta, Tomasz Hanusiak, Michal Kapitonow
2026	A*	`conf`	Language Model Representations for Efficient Few-Shot Tabular Classification. WWW Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne
2026	J	`jnl`	Language Model Representations for Efficient Few-Shot Tabular Classification. CoRR Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne
2025	—	`conf`	Agentic Control Center for Data Product Optimization. ICDM (Workshops) Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai, Ken C. L. Wong, Md. Faisal Mahbub Chowdhury, Horst Samulowitz
2025	—	`conf`	Automatic Prompt Engineering with No Task Cues and No Tuning. ICDM (Workshops) Md. Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya, Niharika S. D'Souza, Horst Samulowitz, Neeru Gupta, Tomasz Hanusiak, Michal Kapitonow
2025	J	`jnl`	Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Study. CoRR Nandana Mihindukulasooriya, Niharika S. D'Souza, Md. Faisal Mahbub Chowdhury, Horst Samulowitz
2025	J	`jnl`	Can AI autonomously build, operate, and use the entire data stack? CoRR Arvind Agarwal, Lisa Amini, Sameep Mehta, Horst Samulowitz, Kavitha Srinivas
2025	J	`jnl`	Can Cross Encoders Produce Useful Sentence Embeddings? CoRR Haritha Ananthakrishnan, Julian Dolby, Harsha Kokel, Horst Samulowitz, Kavitha Srinivas
2025	J	`jnl`	DP-Bench: A Benchmark for Evaluating Data Product Creation Systems. CoRR Md. Faisal Mahbub Chowdhury, Sola Shirai, Sarthak Dash, Nandana Mihindukulasooriya, Horst Samulowitz
2025	J	`jnl`	Evaluating Joinable Column Discovery Approaches for Context-Aware Search. CoRR Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Haritha Ananthakrishnan, Oktie Hassanzadeh, Horst Samulowitz, Kavitha Srinivas
2025	J	`jnl`	From Factoid Questions to Data Product Requests: Benchmarking Data Product Discovery over Tables and Text. CoRR Liangliang Zhang, Nandana Mihindukulasooriya, Niharika S. D'Souza, Sola Shirai, Sarthak Dash, Yao Ma, Horst Samulowitz
2025	—	`conf`	Knowledge Base Construction for Knowledge-Augmented Text-to-SQL. ACL (Findings) Jinheon Baek, Horst Samulowitz, Oktie Hassanzadeh, Dharmashankar Subramanian, Sola Shirai, Alfio Gliozzo, Debarun Bhattacharjya
2025	J	`jnl`	Knowledge Base Construction for Knowledge-Augmented Text-to-SQL. CoRR Jinheon Baek, Horst Samulowitz, Oktie Hassanzadeh, Dharmashankar Subramanian, Sola Shirai, Alfio Gliozzo, Debarun Bhattacharjya
2025	J	`jnl`	Language Models Are Good Tabular Learners. Trans. Mach. Learn. Res. Zhenhan Huang, Kavitha Srinivas, Horst Samulowitz, Niharika S. D'Souza, Charu C. Aggarwal, Pin-Yu Chen, Jianxi Gao
2025	J	`jnl`	Less is More: Learning Graph Tasks with Just LLMs. CoRR Sola Shirai, Kavitha Srinivas, Julian Dolby, Michael Katz, Horst Samulowitz, Shirin Sohrabi
2025	J	`jnl`	MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time. CoRR Peter Phan, Dhruv Agarwal, Kavitha Srinivas, Horst Samulowitz, Pavan Kapanipathi, Andrew McCallum
2025	J	`jnl`	Mitigating Modality Imbalance in Multi-modal Learning via Multi-objective Optimization. CoRR Heshan Devaka Fernando, Parikshit Ram, Yi Zhou, Soham Dan, Horst Samulowitz, Nathalie Baracaldo, Tianyi Chen
2025	J	`jnl`	On Learning Representations for Tabular Data Distillation. CoRR Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne
2025	J	`jnl`	On Learning Representations for Tabular Data Distillation. Trans. Mach. Learn. Res. Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne
2025	J	`jnl`	On the Utility of Existing Fine-Tuned Models on Data-Scarce Domains. Trans. Mach. Learn. Res. Md. Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar
2025	J	`jnl`	StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation. CoRR Satyananda Kashyap, Sola Shirai, Nandana Mihindukulasooriya, Horst Samulowitz
2025	J	`jnl`	TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search. CoRR Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Haritha Ananthakrishnan, Oktie Hassanzadeh, Horst Samulowitz, Kavitha Srinivas
2025	A*	`conf`	TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes. ICDE Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2025	—	`conf`	Table Retrieval using LLMs and Semantic Table Similarity. WWW (Companion Volume) Udayan Khurana, Sahil Suneja, Horst Samulowitz
2024	—	`conf`	Byzantine-Resilient Bilevel Federated Learning. SAM Momin Abbas, Yi Zhou, Nathalie Baracaldo, Horst Samulowitz, Parikshit Ram, Theodoros Salonidis
2024	J	`jnl`	Choosing a Classical Planner with Graph Neural Networks. CoRR Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen, Horst Samulowitz, Michael Katz
2024	A*	`conf`	Effective Data Distillation for Tabular Datasets (Student Abstract). AAAI Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne
2024	A	`conf`	Empirical Evidence on Conversational Control of GUI in Semantic Automation. IUI Daniel Karl I. Weidele, Mauro Martino, Abel N. Valente, Gaetano Rossiello, Hendrik Strobelt, Loraine Franke, Kathryn Alvero, Shayenna Misko, Robin Auer, Sugato Bagchi, Nandana Mihindukulasooriya, Md. Faisal Mahbub Chowdhury, Gregory Bramble, Horst Samulowitz, Alfio Gliozzo, Lisa Amini
2024	A	`conf`	Enhancing In-context Learning via Linear Probe Calibration. AISTATS Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen
2024	J	`jnl`	Enhancing In-context Learning via Linear Probe Calibration. CoRR Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen
2024	A	`conf`	Feature-Engineered Random Forests. SDM Saket Sathe, Charu Aggarwal, Horst Samulowitz, Deepak S. Turaga
2024	A*	`conf`	Instance-Level Metalearning for Outlier Detection. IJCAI Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz
2024	J	`jnl`	Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning. CoRR Heshan Devaka Fernando, Han Shen, Parikshit Ram, Yi Zhou, Horst Samulowitz, Nathalie Baracaldo, Tianyi Chen
2024	J	`jnl`	On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems. CoRR Md. Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar
2024	J	`jnl`	TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2023	J	`jnl`	A Vision for Semantically Enriched Data Science. CoRR Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz
2023	—	`conf`	Conversational GUI for Semantic Automation Layer. ISWC (Posters/Demos/Industry) Daniel Karl I. Weidele, Gaetano Rossiello, Gregory Bramble, Abel N. Valente, Sugato Bagchi, Md. Faisal Mahbub Chowdhury, Mauro Martino, Nandana Mihindukulasooriya, Haritha Ananthakrishnan, Hendrik Strobelt, Hima Patel, Alfio Massimiliano Gliozzo, Owen Cornec, Ankush Gupta, Sameep Mehta, Manish Kesarwani, Horst Samulowitz, Oktie Hassanzadeh, Arvind Agarwal, Lisa Amini
2023	J	`jnl`	DataRinse: Semantic Transforms for Data preparation based on Code Mining. Proc. VLDB Endow. Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
2023	A	`conf`	FLASH: Automating federated learning using CASH. UAI Md. Ibrahim Ibne Alam, Koushik Kar, Theodoros Salonidis, Horst Samulowitz
2023	J	`jnl`	LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz
2023	J	`jnl`	Matching Table Metadata with Business Glossaries Using Large Language Models. CoRR Elita A. Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz
2023	—	`conf`	Matching table metadata with business glossaries using large language models. OM@ISWC Elita A. Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz
2023	A	`conf`	NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns. CIKM Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
2023	—	`conf`	Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs. EKG-LLM@CIKM Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
2023	A*	`conf`	SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. IJCAI Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
2023	A*	`conf`	Single-shot General Hyper-parameter Optimization for Federated Learning. ICLR Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
2022	J	`jnl`	A Survey on Semantics in Automated Data Science. CoRR Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
2022	A*	`conf`	Semantic Feature Discovery with Code Mining and Semantic Type Detection. AAAI Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini
2022	J	`jnl`	Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis. CoRR Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
2021	—	`conf`	AutoAI-TS: AutoAI for Time Series Forecasting. SIGMOD Conference Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculín, Petros Zerfos
2021	J	`jnl`	AutoAI-TS: AutoAI for Time Series Forecasting. CoRR Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculín, Petros Zerfos
2021	A*	`conf`	AutoText: An End-to-End AutoAI Framework for Text. AAAI Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li
2021	A*	`conf`	Automated Data Science for Relational Data. ICDE Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz
2021	J	`jnl`	FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning. CoRR Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
2021	J	`jnl`	How Much Automation Does a Data Scientist Want? CoRR Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael J. Muller, Lisa Amini
2020	A*	`conf`	An ADMM Based Framework for AutoML Pipeline Configuration. AAAI Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray
2020	—	`conf`	AutoAI: Automating the End-to-End AI Lifecycle with Humans-in-the-Loop. IUI Companion Dakuo Wang, Parikshit Ram, Daniel Karl I. Weidele, Sijia Liu, Michael J. Muller, Justin D. Weisz, Abel N. Valente, Arunima Chaudhary, Dustin Ramsey Torres, Horst Samulowitz, Lisa Amini
2020	A	`conf`	Autonomous Predictive Modeling via Reinforcement Learning. CIKM Udayan Khurana, Horst Samulowitz
2020	—	`conf`	IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. DaSH@KDD Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, Abel N. Valente, Dustin Ramsey Torres, Casey Dugan
2020	J	`jnl`	Solving Constrained CASH Problems with ADMM. CoRR Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray
2020	B	`conf`	Survey on Automated End-to-End Data Science? IJCNN Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray
2019	—	`conf`	Automated Feature Enhancement for Predictive Modeling using External Knowledge. ICDM Workshops Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi
2019	J	`jnl`	Automated Machine Learning via ADMM. CoRR Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R. Conn, Horst Samulowitz, Alexander G. Gray
2019	J	`jnl`	Automating Predictive Modeling Process using Reinforcement Learning. CoRR Udayan Khurana, Horst Samulowitz
2019	A*	`conf`	Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. AAAI Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber
2019	J	`jnl`	How can AI Automate End-to-End Data Science? CoRR Charu C. Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray
2019	J	`jnl`	Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. CoRR Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
2019	J	`jnl`	Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. Proc. ACM Hum. Comput. Interact. Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
2019	J	`jnl`	NeuNetS: An Automated Synthesis Engine for Neural Network Design. CoRR Atin Sood, Benjamin Elder, Benjamin Herta, Chao Xue, Costas Bekas, A. Cristiano I. Malossi, Debashish Saha, Florian Scheidegger, Ganesh Venkataraman, Gegi Thomas, Giovanni Mariani, Hendrik Strobelt, Horst Samulowitz, Martin Wistuba, Matteo Manica, Mihir R. Choudhury, Rong Yan, Roxana Istrate, Ruchir Puri, Tejaswini Pedapati
2019	J	`jnl`	Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit. CoRR Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba
2019	A*	`conf`	Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. IJCAI Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba
2018	A*	`conf`	Dataset Evolver: An Interactive Feature Engineering Notebook. AAAI Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga
2018	A*	`conf`	Feature Engineering for Predictive Modeling Using Reinforcement Learning. AAAI Udayan Khurana, Horst Samulowitz, Deepak S. Turaga
2017	J	`jnl`	An effective algorithm for hyperparameter optimization of neural networks. CoRR Gonzalo I. Diaz, Achille Fokoue, Giacomo Nannicini, Horst Samulowitz
2017	J	`jnl`	An effective algorithm for hyperparameter optimization of neural networks. IBM J. Res. Dev. Gonzalo I. Diaz, Achille Fokoue-Nkoutche, Giacomo Nannicini, Horst Samulowitz
2017	J	`jnl`	Feature Engineering for Predictive Modeling using Reinforcement Learning. CoRR Udayan Khurana, Horst Samulowitz, Deepak S. Turaga
2017	A*	`conf`	Learning Feature Engineering for Classification. IJCAI Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga
2017	J	`jnl`	Neurology-as-a-Service for the Developing World. CoRR Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels
2016	B	`conf`	Adaptive data augmentation for image classification. ICIP Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard
2016	—	`conf`	Cognito: Automated Feature Engineering for Supervised Learning. ICDM Workshops Udayan Khurana, Deepak S. Turaga, Horst Samulowitz, Srinivasan Parthasrathy
2016	A*	`conf`	Deep Learning for Algorithm Portfolios. AAAI Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay A. Saraswat
2016	—	`conf`	Image inpainting through neural networks hallucinations. IVMSP Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard
2016	A*	`conf`	Selecting Near-Optimal Learners via Incremental Data Allocation. AAAI Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro
2016	J	`jnl`	Selecting Near-Optimal Learners via Incremental Data Allocation. CoRR Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro
2015	A*	`conf`	Model-Based Genetic Algorithms for Algorithm Configuration. IJCAI Carlos Ansótegui, Yuri Malitsky, Horst Samulowitz, Meinolf Sellmann, Kevin Tierney
2015	A*	`conf`	Towards Cognitive Automation of Data Science. AAAI Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga
2014	A	`conf`	Insights into Parallelism with Intensive Knowledge Sharing. CP Ashish Sabharwal, Horst Samulowitz
2014	B	`conf`	Parallel Combinatorial Optimization with Decision Diagrams. CPAIOR David Bergman, André A. Ciré, Ashish Sabharwal, Horst Samulowitz, Vijay A. Saraswat, Willem Jan van Hoeve
2013	A*	`conf`	Algorithm Portfolios Based on Cost-Sensitive Hierarchical Clustering. IJCAI Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
2013	—	`conf`	Automated Design of Search with Composability. AAAI (Late-Breaking Developments) Ashish Sabharwal, Horst Samulowitz, Tom Schrijvers, Peter J. Stuckey, Guido Tack
2013	—	`conf`	Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction. LION Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
2013	A*	`conf`	Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers. AAAI George Katsirelos, Ashish Sabharwal, Horst Samulowitz, Laurent Simon
2013	J	`jnl`	Search combinators. Constraints An Int. J. Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey
2013	A	`conf`	Snappy: A Simple Algorithm Portfolio. SAT Horst Samulowitz, Chandra Reddy, Ashish Sabharwal, Meinolf Sellmann
2013	B	`conf`	Stronger Inference through Implied Literals from Conflicts and Knapsack Covers. CPAIOR Tobias Achterberg, Ashish Sabharwal, Horst Samulowitz
2012	C	`conf`	An Introduction to Search Combinators. LOPSTR Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey
2012	A	`conf`	Augmenting Clause Learning with Implied Literals - (Poster Presentation). SAT Arie Matsliah, Ashish Sabharwal, Horst Samulowitz
2012	B	`conf`	Guiding Combinatorial Optimization with UCT. CPAIOR Ashish Sabharwal, Horst Samulowitz, Chandra Reddy
2012	A	`conf`	Learning Back-Clauses in SAT - (Poster Presentation). SAT Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
2012	A	`conf`	Parallel SAT Solver Selection and Scheduling. CP Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
2012	A	`conf`	SatX10: A Scalable Plug&Play Parallel SAT Framework - (Tool Presentation). SAT Bard Bloom, David Grove, Benjamin Herta, Ashish Sabharwal, Horst Samulowitz, Vijay A. Saraswat
2012	J	`jnl`	Search Combinators CoRR Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey
2011	A	`conf`	Algorithm Selection and Scheduling. CP Serdar Kadioglu, Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
2011	—	`conf`	Memoizing a Monadic Mixin DSL. WFLP Pieter Wuille, Tom Schrijvers, Horst Samulowitz, Guido Tack, Peter J. Stuckey
2011	A	`conf`	Non-Model-Based Algorithm Portfolios for SAT. SAT Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
2011	A	`conf`	Search Combinators. CP Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey
2010	A*	`conf`	Collaborative Expert Portfolio Management. AAAI David H. Stern, Horst Samulowitz, Ralf Herbrich, Thore Graepel, Luca Pulina, Armando Tacchella
2009	A*	`conf`	Experiments with Massively Parallel Constraint Solving. IJCAI Lucas Bordeaux, Youssef Hamadi, Horst Samulowitz
2008	—	`—`	Solving Quantified Boolean Formulas. Horst Samulowitz
2007	A	`conf`	Dynamically Partitioning for Solving QBF. SAT Horst Samulowitz, Fahiem Bacchus
2007	A*	`conf`	Learning to Solve QBF. AAAI Horst Samulowitz, Roland Memisevic
2007	Misc	`conf`	On the stochastic constraint satisfaction framework. SAC Lucas Bordeaux, Horst Samulowitz
2006	A	`conf`	Binary Clause Reasoning in QBF. SAT Horst Samulowitz, Fahiem Bacchus
2006	A	`conf`	Preprocessing QBF. CP Horst Samulowitz, Jessica Davies, Fahiem Bacchus
2005	A	`conf`	Using SAT in QBF. CP Horst Samulowitz, Fahiem Bacchus
2001	J	`jnl`	Visualization of eclipses and planetary conjunction events. The interplay between model coherence, scaling and animation. Vis. Comput. Walter Oberschelp, Alexander Hornung, Horst Samulowitz
2000	C	`conf`	Visualization of Eclipses and Planetary Conjunction Events: The Interplay between Model Coherence, Scaling and Animation. Computer Graphics International Walter Oberschelp, Alexander Hornung, Horst Samulowitz