Horst Samulowitz

According to our database, Horst Samulowitz authored at least 83 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning.

Heshan Devaka Fernando, Han Shen, Parikshit Ram, Yi Zhou, Horst Samulowitz, Nathalie Baracaldo, Tianyi Chen

CoRR, 2024

TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes.

Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas

CoRR, 2024

On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems.

Md. Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar

CoRR, 2024

Choosing a Classical Planner with Graph Neural Networks.

Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen, Horst Samulowitz, Michael Katz

CoRR, 2024

Feature-Engineered Random Forests.

Saket Sathe, Charu Aggarwal, Horst Samulowitz, Deepak S. Turaga

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Empirical Evidence on Conversational Control of GUI in Semantic Automation.

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

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Instance-Level Metalearning for Outlier Detection.

Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Byzantine-Resilient Bilevel Federated Learning.

Momin Abbas, Yi Zhou, Nathalie Baracaldo, Horst Samulowitz, Parikshit Ram, Theodoros Salonidis

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Enhancing In-context Learning via Linear Probe Calibration.

Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Effective Data Distillation for Tabular Datasets (Student Abstract).

Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DataRinse: Semantic Transforms for Data preparation based on Code Mining.

Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas

Proc. VLDB Endow., 2023

LakeBench: Benchmarks for Data Discovery over Data Lakes.

Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz

CoRR, 2023

A Vision for Semantically Enriched Data Science.

Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz

CoRR, 2023

FLASH: Automating federated learning using CASH.

Md. Ibrahim Ibne Alam, Koushik Kar, Theodoros Salonidis, Horst Samulowitz

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Conversational GUI for Semantic Automation Layer.

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

Proceedings of the ISWC 2023 Posters, 2023

Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection.

Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Matching table metadata with business glossaries using large language models.

Elita A. Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz

Proceedings of the 18th International Workshop on Ontology Matching co-located with the 22nd International Semantic Web Conference (ISWC 2023), 2023

SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code.

Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Single-shot General Hyper-parameter Optimization for Federated Learning.

Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs.

Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz

Proceedings of the Workshop on Enterprise Knowledge Graphs using Large Language Models (EKG-LLM 2023) co-located with 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023

NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns.

Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Survey on Semantics in Automated Data Science.

Udayan Khurana, Kavitha Srinivas, Horst Samulowitz

CoRR, 2022

Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis.

Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig

CoRR, 2022

Semantic Feature Discovery with Code Mining and Semantic Type Detection.

Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning.

Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig

CoRR, 2021

How Much Automation Does a Data Scientist Want?

Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael J. Muller, Lisa Amini

CoRR, 2021

AutoAI-TS: AutoAI for Time Series Forecasting.

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Automated Data Science for Relational Data.

Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

AutoText: An End-to-End AutoAI Framework for Text.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Solving Constrained CASH Problems with ADMM.

Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray

CoRR, 2020

IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models.

Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, Abel N. Valente, Dustin Ramsey Torres, Casey Dugan

Proceedings of the 1st Workshop on Data Science with Human in the Loop, 2020

AutoAI: Automating the End-to-End AI Lifecycle with Humans-in-the-Loop.

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

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Survey on Automated End-to-End Data Science?

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Autonomous Predictive Modeling via Reinforcement Learning.

Udayan Khurana, Horst Samulowitz

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

An ADMM Based Framework for AutoML Pipeline Configuration.

Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI.

Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray

Proc. ACM Hum. Comput. Interact., 2019

How can AI Automate End-to-End Data Science?

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

CoRR, 2019

Automated Machine Learning via ADMM.

Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R. Conn, Horst Samulowitz, Alexander G. Gray

CoRR, 2019

Automating Predictive Modeling Process using Reinforcement Learning.

Udayan Khurana, Horst Samulowitz

CoRR, 2019

NeuNetS: An Automated Synthesis Engine for Neural Network Design.

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

CoRR, 2019

Optimal Exploitation of Clustering and History Information in Multi-armed Bandit.

Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Automated Feature Enhancement for Predictive Modeling using External Knowledge.

Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection.

Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dataset Evolver: An Interactive Feature Engineering Notebook.

Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Feature Engineering for Predictive Modeling Using Reinforcement Learning.

Udayan Khurana, Horst Samulowitz, Deepak S. Turaga

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

An effective algorithm for hyperparameter optimization of neural networks.

Gonzalo I. Diaz, Achille Fokoue-Nkoutche, Giacomo Nannicini, Horst Samulowitz

IBM J. Res. Dev., 2017

Neurology-as-a-Service for the Developing World.

Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels

CoRR, 2017

Learning Feature Engineering for Classification.

Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Image inpainting through neural networks hallucinations.

Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard

Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Adaptive data augmentation for image classification.

Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Cognito: Automated Feature Engineering for Supervised Learning.

Udayan Khurana, Deepak S. Turaga, Horst Samulowitz, Srinivasan Parthasrathy

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Selecting Near-Optimal Learners via Incremental Data Allocation.

Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Deep Learning for Algorithm Portfolios.

Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay A. Saraswat

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Model-Based Genetic Algorithms for Algorithm Configuration.

Carlos Ansótegui, Yuri Malitsky, Horst Samulowitz, Meinolf Sellmann, Kevin Tierney

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Towards Cognitive Automation of Data Science.

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

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Parallel Combinatorial Optimization with Decision Diagrams.

David Bergman, André A. Ciré, Ashish Sabharwal, Horst Samulowitz, Vijay A. Saraswat, Willem Jan van Hoeve

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

Insights into Parallelism with Intensive Knowledge Sharing.

Ashish Sabharwal, Horst Samulowitz

Proceedings of the Principles and Practice of Constraint Programming, 2014

2013

Search combinators.

Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey

Constraints An Int. J., 2013

Snappy: A Simple Algorithm Portfolio.

Horst Samulowitz, Chandra Reddy, Ashish Sabharwal, Meinolf Sellmann

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2013, 2013

Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction.

Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Algorithm Portfolios Based on Cost-Sensitive Hierarchical Clustering.

Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann

Proceedings of the IJCAI 2013, 2013

Stronger Inference through Implied Literals from Conflicts and Knapsack Covers.

Tobias Achterberg, Ashish Sabharwal, Horst Samulowitz

Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2013

Automated Design of Search with Composability.

Ashish Sabharwal, Horst Samulowitz, Tom Schrijvers, Peter J. Stuckey, Guido Tack

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers.

George Katsirelos, Ashish Sabharwal, Horst Samulowitz, Laurent Simon

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Learning Back-Clauses in SAT - (Poster Presentation).

Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2012, 2012

Augmenting Clause Learning with Implied Literals - (Poster Presentation).

Arie Matsliah, Ashish Sabharwal, Horst Samulowitz

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2012, 2012

SatX10: A Scalable Plug&Play Parallel SAT Framework - (Tool Presentation).

Bard Bloom, David Grove, Benjamin Herta, Ashish Sabharwal, Horst Samulowitz, Vijay A. Saraswat

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2012, 2012

An Introduction to Search Combinators.

Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey

Proceedings of the Logic-Based Program Synthesis and Transformation, 2012

Guiding Combinatorial Optimization with UCT.

Ashish Sabharwal, Horst Samulowitz, Chandra Reddy

Proceedings of the Integration of AI and OR Techniques in Contraint Programming for Combinatorial Optimzation Problems, 2012

Parallel SAT Solver Selection and Scheduling.

Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann

Proceedings of the Principles and Practice of Constraint Programming, 2012

2011

Memoizing a Monadic Mixin DSL.

Pieter Wuille, Tom Schrijvers, Horst Samulowitz, Guido Tack, Peter J. Stuckey

Proceedings of the Functional and Constraint Logic Programming, 2011

Non-Model-Based Algorithm Portfolios for SAT.

Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2011, 2011

Algorithm Selection and Scheduling.

Serdar Kadioglu, Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann

Proceedings of the Principles and Practice of Constraint Programming - CP 2011, 2011

2010

Collaborative Expert Portfolio Management.

David H. Stern, Horst Samulowitz, Ralf Herbrich, Thore Graepel, Luca Pulina, Armando Tacchella

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Experiments with Massively Parallel Constraint Solving.

Lucas Bordeaux, Youssef Hamadi, Horst Samulowitz

Proceedings of the IJCAI 2009, 2009

2008

Solving Quantified Boolean Formulas.

Horst Samulowitz

PhD thesis, 2008

2007

Dynamically Partitioning for Solving QBF.

Horst Samulowitz, Fahiem Bacchus

Proceedings of the Theory and Applications of Satisfiability Testing, 2007

On the stochastic constraint satisfaction framework.

Lucas Bordeaux, Horst Samulowitz

Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Learning to Solve QBF.

Horst Samulowitz, Roland Memisevic

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Binary Clause Reasoning in QBF.

Horst Samulowitz, Fahiem Bacchus

Proceedings of the Theory and Applications of Satisfiability Testing, 2006

Preprocessing QBF.

Horst Samulowitz, Jessica Davies, Fahiem Bacchus

Proceedings of the Principles and Practice of Constraint Programming, 2006

2005

Using SAT in QBF.

Horst Samulowitz, Fahiem Bacchus

Proceedings of the Principles and Practice of Constraint Programming, 2005

2001

Visualization of eclipses and planetary conjunction events. The interplay between model coherence, scaling and animation.

Walter Oberschelp, Alexander Hornung, Horst Samulowitz

Vis. Comput., 2001