Automatic loop shaping in MIMO QFT using interval consistency based optimization technique. - R. Jeyasenthil; Harsh Purohit; P. S. V. Nataraj (ISIE, 2014)

Application of Evolutionary Algorithm in Supply Chain Management for Internet Marketing. - Sayed Sayeed Ahmad; Manuj Darbari; Harsh Purohit (CSOC (2), 2016)

Parallel algorithms for template and bound generation in robust control. - Harsh Purohit; P. S. V. Nataraj (ICCA, 2018)

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. - Harsh Purohit; Ryo Tanabe; Takeshi Ichige; Takashi Endo; Yuki Nikaido; Kaori Suefusa; Yohei Kawaguchi (DCASE, 2019)

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. - Harsh Purohit; Ryo Tanabe; Kenji Ichige; Takashi Endo; Yuki Nikaido; Kaori Suefusa; Yohei Kawaguchi (CoRR, 2019)

Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Yuma Koizumi; Yohei Kawaguchi; Keisuke Imoto; Toshiki Nakamura; Yuki Nikaido; Ryo Tanabe; Harsh Purohit; Kaori Suefusa; Takashi Endo; Masahiro Yasuda; Noboru Harada (DCASE, 2020)

Deep Autoencoding GMM-Based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-Parameter Optimization. - Harsh Purohit; Ryo Tanabe; Takashi Endo; Kaori Suefusa; Yuki Nikaido; Yohei Kawaguchi (DCASE, 2020)

Anomalous Sound Detection Based on Interpolation Deep Neural Network. - Kaori Suefusa; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Yohei Kawaguchi (ICASSP, 2020)

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions. - Yohei Kawaguchi; Keisuke Imoto; Yuma Koizumi; Noboru Harada; Daisuke Niizumi; Kota Dohi; Ryo Tanabe; Harsh Purohit; Takashi Endo (DCASE, 2021)

Flow-Based Self-Supervised Density Estimation for Anomalous Sound Detection. - Kota Dohi; Takashi Endo; Harsh Purohit; Ryo Tanabe; Yohei Kawaguchi (ICASSP, 2021)

MIMII Due: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts Due to Changes in Operational and Environmental Conditions. - Ryo Tanabe; Harsh Purohit; Kota Dohi; Takashi Endo; Yuki Nikaido; Toshiki Nakamura; Yohei Kawaguchi (WASPAA, 2021)

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions. - Yohei Kawaguchi; Keisuke Imoto; Yuma Koizumi; Noboru Harada; Daisuke Niizumi; Kota Dohi; Ryo Tanabe; Harsh Purohit; Takashi Endo (CoRR, 2021)

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. - Kota Dohi; Keisuke Imoto; Noboru Harada; Daisuke Niizumi; Yuma Koizumi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi (DCASE, 2022)

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Ggeneralization Task. - Kota Dohi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Masaaki Yamamoto; Yuki Nikaido; Yohei Kawaguchi (DCASE, 2022)

Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection. - Harsh Purohit; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi (EUSIPCO, 2022)

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task. - Kota Dohi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Masaaki Yamamoto; Yuki Nikaido; Yohei Kawaguchi (CoRR, 2022)

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. - Kota Dohi; Keisuke Imoto; Noboru Harada; Daisuke Niizumi; Yuma Koizumi; Tomoya Nishida; Harsh Purohit; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi (CoRR, 2022)

Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Kota Dohi; Keisuke Imoto; Noboru Harada; Daisuke Niizumi; Yuma Koizumi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Yohei Kawaguchi (CoRR, 2023)

Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Tomoya Nishida; Noboru Harada; Daisuke Niizumi; Davide Albertini; Roberto Sannino; Simone Pradolini; Filippo Augusti; Keisuke Imoto; Kota Dohi; Harsh Purohit; Takashi Endo; Yohei Kawaguchi (CoRR, 2024)

MIMII-Gen: Generative Modeling Approach for Simulated Evaluation of Anomalous Sound Detection System. - Harsh Purohit; Tomoya Nishida; Kota Dohi; Takashi Endo; Yohei Kawaguchi (CoRR, 2024)

Timbre Difference Capturing in Anomalous Sound Detection. - Tomoya Nishida; Harsh Purohit; Kota Dohi; Takashi Endo; Yohei Kawaguchi (CoRR, 2024)

Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data. - Kota Dohi; Aoi Ito; Harsh Purohit; Tomoya Nishida; Takashi Endo; Yohei Kawaguchi (ICASSP, 2025)

Retrieving Time-Series Differences Using Natural Language Queries. - Kota Dohi; Tomoya Nishida; Harsh Purohit; Takashi Endo; Yohei Kawaguchi (CoRR, 2025)

Description and Discussion on DCASE 2025 Challenge Task 2: First-shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Tomoya Nishida; Noboru Harada; Daisuke Niizumi; Davide Albertini; Roberto Sannino; Simone Pradolini; Filippo Augusti; Keisuke Imoto; Kota Dohi; Harsh Purohit; Takashi Endo; Yohei Kawaguchi (CoRR, 2025)

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection. - Harsh Purohit; Tomoya Nishida; Kota Dohi; Takashi Endo; Yohei Kawaguchi (CoRR, 2025)