Interactive information crowdsourcing for disaster management using SMS and Twitter: A research prototype. - Anubrata Das 001; Neeratyoy Mallik; Somprakash Bandyopadhyay; Sipra Das Bit; Jayanta Basak (PerCom Workshops, 2016)

Differential Evolution for Neural Architecture Search. - Noor H. Awad; Neeratyoy Mallik; Frank Hutter (CoRR, 2020)

Squirrel: A Switching Hyperparameter Optimizer. - Noor H. Awad; Gresa Shala; Difan Deng; Neeratyoy Mallik; Matthias Feurer; Katharina Eggensperger; André Biedenkapp; Diederick Vermetten; Hao Wang 025; Carola Doerr; Marius Lindauer; Frank Hutter (CoRR, 2020)

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. - Noor H. Awad; Neeratyoy Mallik; Frank Hutter (IJCAI, 2021)

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. - Katharina Eggensperger; Philipp Müller 008; Neeratyoy Mallik; Matthias Feurer; René Sass; Aaron Klein; Noor H. Awad; Marius Lindauer; Frank Hutter (NeurIPS Datasets and Benchmarks, 2021)

OpenML-Python: an extensible Python API for OpenML. - Matthias Feurer; Jan N. van Rijn; Arlind Kadra; Pieter Gijsbers; Neeratyoy Mallik; Sahithya Ravi; Andreas Müller 004; Joaquin Vanschoren; Frank Hutter (J. Mach. Learn. Res., 2021)

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. - Neeratyoy Mallik; Edward Bergman; Carl Hvarfner; Danny Stoll; Maciej Janowski; Marius Lindauer; Luigi Nardi; Frank Hutter (NeurIPS, 2023)

Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks. - Shuhei Watanabe; Neeratyoy Mallik; Edward Bergman; Frank Hutter (AutoML, 2024)

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. - Herilalaina Rakotoarison; Steven Adriaensen; Neeratyoy Mallik; Samir Garibov; Eddie Bergman; Frank Hutter (ICML, 2024)

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. - Herilalaina Rakotoarison; Steven Adriaensen; Neeratyoy Mallik; Samir Garibov; Edward Bergman; Frank Hutter (CoRR, 2024)

LMEMs for post-hoc analysis of HPO Benchmarking. - Anton Geburek; Neeratyoy Mallik; Danny Stoll; Xavier Bouthillier; Frank Hutter (CoRR, 2024)

Warmstarting for Scaling Language Models. - Neeratyoy Mallik; Maciej Janowski; Johannes Hog; Herilalaina Rakotoarison; Aaron Klein; Josif Grabocka; Frank Hutter (CoRR, 2024)

Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization. - Timur Carstensen; Neeratyoy Mallik; Frank Hutter; Martin Rapp (CoRR, 2025)

carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks. - Carolin Benjamins; Helena Graf; Sarah Segel; Difan Deng; Tim Ruhkopf; Leona Hennig; Soham Basu; Neeratyoy Mallik; Edward Bergman; Deyao Chen; François Clément; Matthias Feurer; et al. (CoRR, 2025)