Horst Samulowitz

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 57

Top Topics

Decision Diagrams

Reinforcement Learning

Semantically Enriched

Top Venues

Publications

Saket Sathe, Charu Aggarwal, Horst Samulowitz, Deepak S. Turaga
Feature-Engineered Random Forests. SDM (2024)
Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen, Horst Samulowitz, Michael Katz
Choosing a Classical Planner with Graph Neural Networks. CoRR (2024)
Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen
Enhancing In-context Learning via Linear Probe Calibration. AISTATS (2024)
Md. Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar
On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems. CoRR (2024)
Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen
Enhancing In-context Learning via Linear Probe Calibration. CoRR (2024)
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
Empirical Evidence on Conversational Control of GUI in Semantic Automation. IUI (2024)
Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR (2024)
Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne
Effective Data Distillation for Tabular Datasets (Student Abstract). AAAI (2024)
Md I. I. Alam, Koushik Kar, Theodoros Salonidis, Horst Samulowitz
FLASH: Automating federated learning using CASH. UAI (2023)
Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz
LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR (2023)
Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs. EKG-LLM@CIKM (2023)
Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns. CIKM (2023)
Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz
A Vision for Semantically Enriched Data Science. CoRR (2023)
Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
Single-shot General Hyper-parameter Optimization for Federated Learning. ICLR (2023)
Elita Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz
Matching Table Metadata with Business Glossaries Using Large Language Models. CoRR (2023)
Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
DataRinse: Semantic Transforms for Data preparation based on Code Mining. Proc. VLDB Endow. 16 (12) (2023)
Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. IJCAI (2023)
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
Conversational GUI for Semantic Automation Layer. ISWC (Posters/Demos/Industry) (2023)
Elita Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz
Matching table metadata with business glossaries using large language models. OM@ISWC (2023)
Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini
Semantic Feature Discovery with Code Mining and Semantic Type Detection. AAAI (2022)
Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
A Survey on Semantics in Automated Data Science. CoRR (2022)
Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis. CoRR (2022)
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
AutoText: An End-to-End AutoAI Framework for Text. AAAI (2021)
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
AutoAI-TS: AutoAI for Time Series Forecasting. CoRR (2021)
Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning. CoRR (2021)
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
AutoAI-TS: AutoAI for Time Series Forecasting. SIGMOD Conference (2021)
Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz
Automated Data Science for Relational Data. ICDE (2021)
Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael J. Muller, Lisa Amini
How Much Automation Does a Data Scientist Want? CoRR (2021)
Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray
An ADMM Based Framework for AutoML Pipeline Configuration. AAAI (2020)
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
Survey on Automated End-to-End Data Science? IJCNN (2020)
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
AutoAI: Automating the End-to-End AI Lifecycle with Humans-in-the-Loop. IUI Companion (2020)
Udayan Khurana, Horst Samulowitz
Autonomous Predictive Modeling via Reinforcement Learning. CIKM (2020)
Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, Abel N. Valente, Dustin Ramsey Torres, Casey Dugan
IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. DaSH@KDD (2020)
Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray
Solving Constrained CASH Problems with ADMM. CoRR (2020)
Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R. Conn, Horst Samulowitz, Alexander G. Gray
Automated Machine Learning via ADMM. CoRR (2019)
Udayan Khurana, Horst Samulowitz
Automating Predictive Modeling Process using Reinforcement Learning. CoRR (2019)
Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber
Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. AAAI (2019)
Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi
Automated Feature Enhancement for Predictive Modeling using External Knowledge. ICDM Workshops (2019)
Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. CoRR (2019)
Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
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
How can AI Automate End-to-End Data Science? CoRR (2019)
Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. IJCAI (2019)
Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba
Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit. CoRR (2019)
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
NeuNetS: An Automated Synthesis Engine for Neural Network Design. CoRR (2019)
Udayan Khurana, Horst Samulowitz, Deepak S. Turaga
Feature Engineering for Predictive Modeling Using Reinforcement Learning. AAAI (2018)
Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga
Dataset Evolver: An Interactive Feature Engineering Notebook. AAAI (2018)
Udayan Khurana, Horst Samulowitz, Deepak S. Turaga
Feature Engineering for Predictive Modeling using Reinforcement Learning. CoRR (2017)
Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels
Neurology-as-a-Service for the Developing World. CoRR (2017)
Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga
Learning Feature Engineering for Classification. IJCAI (2017)
Gonzalo I. Diaz, Achille Fokoue, Giacomo Nannicini, Horst Samulowitz
An effective algorithm for hyperparameter optimization of neural networks. CoRR (2017)
Gonzalo I. Diaz, Achille Fokoue-Nkoutche, Giacomo Nannicini, Horst Samulowitz
An effective algorithm for hyperparameter optimization of neural networks. IBM J. Res. Dev. 61 (4-5) (2017)
Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro
Selecting Near-Optimal Learners via Incremental Data Allocation. AAAI (2016)
Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay A. Saraswat
Deep Learning for Algorithm Portfolios. AAAI (2016)
Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard
Adaptive data augmentation for image classification. ICIP (2016)
Udayan Khurana, Deepak S. Turaga, Horst Samulowitz, Srinivasan Parthasrathy
Cognito: Automated Feature Engineering for Supervised Learning. ICDM Workshops (2016)
Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro
Selecting Near-Optimal Learners via Incremental Data Allocation. CoRR (2016)
Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard
Image inpainting through neural networks hallucinations. IVMSP (2016)
Carlos Ansótegui, Yuri Malitsky, Horst Samulowitz, Meinolf Sellmann, Kevin Tierney
Model-Based Genetic Algorithms for Algorithm Configuration. IJCAI (2015)
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
Towards Cognitive Automation of Data Science. AAAI (2015)
David Bergman, André A. Ciré, Ashish Sabharwal, Horst Samulowitz, Vijay A. Saraswat, Willem Jan van Hoeve
Parallel Combinatorial Optimization with Decision Diagrams. CPAIOR (2014)
Ashish Sabharwal, Horst Samulowitz
Insights into Parallelism with Intensive Knowledge Sharing. CP (2014)
Tobias Achterberg, Ashish Sabharwal, Horst Samulowitz
Stronger Inference through Implied Literals from Conflicts and Knapsack Covers. CPAIOR (2013)
Horst Samulowitz, Chandra Reddy, Ashish Sabharwal, Meinolf Sellmann
Snappy: A Simple Algorithm Portfolio. SAT (2013)
Ashish Sabharwal, Horst Samulowitz, Tom Schrijvers, Peter J. Stuckey, Guido Tack
Automated Design of Search with Composability. AAAI (Late-Breaking Developments) (2013)
Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction. LION (2013)
Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey
Search combinators. Constraints An Int. J. 18 (2) (2013)
Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
Algorithm Portfolios Based on Cost-Sensitive Hierarchical Clustering. IJCAI (2013)
George Katsirelos, Ashish Sabharwal, Horst Samulowitz, Laurent Simon
Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers. AAAI (2013)
Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey
Search Combinators CoRR (2012)
Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey
An Introduction to Search Combinators. LOPSTR (2012)
Arie Matsliah, Ashish Sabharwal, Horst Samulowitz
Augmenting Clause Learning with Implied Literals - (Poster Presentation). SAT (2012)
Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
Parallel SAT Solver Selection and Scheduling. CP (2012)
Ashish Sabharwal, Horst Samulowitz, Chandra Reddy
Guiding Combinatorial Optimization with UCT. CPAIOR (2012)
Bard Bloom, David Grove, Benjamin Herta, Ashish Sabharwal, Horst Samulowitz, Vijay A. Saraswat
SatX10: A Scalable Plug&Play Parallel SAT Framework - (Tool Presentation). SAT (2012)
Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
Learning Back-Clauses in SAT - (Poster Presentation). SAT (2012)
Serdar Kadioglu, Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
Algorithm Selection and Scheduling. CP (2011)
Tom Schrijvers, Guido Tack, Pieter Wuille, Horst Samulowitz, Peter J. Stuckey
Search Combinators. CP (2011)
Pieter Wuille, Tom Schrijvers, Horst Samulowitz, Guido Tack, Peter J. Stuckey
Memoizing a Monadic Mixin DSL. WFLP (2011)
Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
Non-Model-Based Algorithm Portfolios for SAT. SAT (2011)
David H. Stern, Horst Samulowitz, Ralf Herbrich, Thore Graepel, Luca Pulina, Armando Tacchella
Collaborative Expert Portfolio Management. AAAI (2010)
Lucas Bordeaux, Youssef Hamadi, Horst Samulowitz
Experiments with Massively Parallel Constraint Solving. IJCAI (2009)
Lucas Bordeaux, Horst Samulowitz
On the stochastic constraint satisfaction framework. SAC (2007)
Horst Samulowitz, Fahiem Bacchus
Dynamically Partitioning for Solving QBF. SAT (2007)
Horst Samulowitz, Roland Memisevic
Learning to Solve QBF. AAAI (2007)
Horst Samulowitz, Fahiem Bacchus
Binary Clause Reasoning in QBF. SAT (2006)
Horst Samulowitz, Jessica Davies, Fahiem Bacchus
Preprocessing QBF. CP (2006)
Horst Samulowitz, Fahiem Bacchus
Using SAT in QBF. CP (2005)
Walter Oberschelp, Alexander Hornung, Horst Samulowitz
Visualization of eclipses and planetary conjunction events. The interplay between model coherence, scaling and animation. Vis. Comput. 17 (5) (2001)
Walter Oberschelp, Alexander Hornung, Horst Samulowitz
Visualization of Eclipses and Planetary Conjunction Events: The Interplay between Model Coherence, Scaling and Animation. Computer Graphics International (2000)