Facial Action Point Based Emotion Recognition by Principal Component Analysis. - Anisha Halder; Arindam Jati; Garima Singh; Amit Konar; Aruna Chakraborty; Ramadoss Janarthanan (SocProS (2), 2011)

The Role of Empirical Mode Decomposition on Emotion Classification Using Stimulated EEG Signals. - Anwesha Khasnobish; Saugat Bhattacharyya; Garima Singh; Arindam Jati; Amit Konar; D. N. Tibarewala; Ramadoss Janarthanan (ACITY (3), 2012)

A hybridisation of Improved Harmony Search and Bacterial Foraging for multi-robot motion planning. - Arindam Jati; Garima Singh; Pratyusha Rakshit; Amit Konar; Eunjin Kim; Atulya K. Nagar (IEEE Congress on Evolutionary Computation, 2012)

Object-shape recognition from tactile images using a feed-forward neural network. - Anwesha Khasnobish; Arindam Jati; Garima Singh; Saugat Bhattacharyya; Amit Konar; D. N. Tibarewala; Eunjin Kim; Atulya K. Nagar (IJCNN, 2012)

Object shape recognition from tactile images using regional descriptors. - Garima Singh; Arindam Jati; Anwesha Khasnobish; Saugat Bhattacharyya; Amit Konar; D. N. Tibarewala; Atulya K. Nagar (NaBIC, 2012)

A Comparative Analysis of Emotion Recognition from Stimulated EEG Signals. - Garima Singh; Arindam Jati; Anwesha Khasnobish; Saugat Bhattacharyya; Amit Konar; D. N. Tibarewala; Ramadoss Janarthanan (SocProS, 2012)

Object-Shape Recognition by tactile Image Analysis using Support Vector Machine. - Anwesha Khasnobish; Arindam Jati; Garima Singh; Amit Konar; D. N. Tibarewala (Int. J. Pattern Recognit. Artif. Intell., 2014)

Object-shape recognition and 3D reconstruction from tactile sensor images. - Anwesha Khasnobish; Garima Singh; Arindam Jati; Amit Konar; D. N. Tibarewala (Medical Biol. Eng. Comput., 2014)

Multimodal and Multiresolution Depression Detection from Speech and Facial Landmark Features. - Md. Nasir; Arindam Jati; Prashanth Gurunath Shivakumar; Sandeep Nallan Chakravarthula; Panayiotis G. Georgiou (AVEC@ACM Multimedia, 2016)

Speaker2Vec: Unsupervised Learning and Adaptation of a Speaker Manifold Using Deep Neural Networks with an Evaluation on Speaker Segmentation. - Arindam Jati; Panayiotis G. Georgiou (INTERSPEECH, 2017)

Towards Predicting Physiology from Speech During Stressful Conversations: Heart Rate and Respiratory Sinus Arrhythmia. - Arindam Jati; Paula G. Williams; Brian R. Baucom; Panayiotis G. Georgiou (ICASSP, 2018)

An Unsupervised Neural Prediction Framework for Learning Speaker Embeddings Using Recurrent Neural Networks. - Arindam Jati; Panayiotis G. Georgiou (INTERSPEECH, 2018)

Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics. - Arindam Jati; Panayiotis G. Georgiou (CoRR, 2018)

Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection. - Arindam Jati; Naveen Kumar 004; Ruxin Chen; Panayiotis G. Georgiou (ICASSP, 2019)

Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech. - Arindam Jati; Raghuveer Peri; Monisankha Pal; Tae Jin Park; Naveen Kumar 004; Ruchir Travadi; Panayiotis G. Georgiou; Shrikanth Narayanan (INTERSPEECH, 2019)

Multiview Shared Subspace Learning Across Speakers and Speech Commands. - Krishna Somandepalli; Naveen Kumar 004; Arindam Jati; Panayiotis G. Georgiou; Shrikanth Narayanan (INTERSPEECH, 2019)

Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting. - Arindam Jati; Amrutha Nadarajan; Karel Mundnich; Shrikanth S. Narayanan (CoRR, 2019)

Neural Predictive Coding Using Convolutional Neural Networks Toward Unsupervised Learning of Speaker Characteristics. - Arindam Jati; Panayiotis G. Georgiou (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Supervised Deep Hashing for Efficient Audio Event Retrieval. - Arindam Jati; Dimitra Emmanouilidou (ICASSP, 2020)

Robust Speaker Recognition Using Unsupervised Adversarial Invariance. - Raghuveer Peri; Monisankha Pal; Arindam Jati; Krishna Somandepalli; Shrikanth Narayanan (ICASSP, 2020)

An Empirical Analysis of Information Encoded in Disentangled Neural Speaker Representations. - Raghuveer Peri; Haoqi Li; Krishna Somandepalli; Arindam Jati; Shrikanth Narayanan (Odyssey, 2020)

Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training. - Monisankha Pal; Arindam Jati; Raghuveer Peri; Chin-Cheng Hsu; Wael AbdAlmageed; Shrikanth Narayanan (ICASSP, 2021)

Adversarial attack and defense strategies for deep speaker recognition systems. - Arindam Jati; Chin-Cheng Hsu; Monisankha Pal; Raghuveer Peri; Wael AbdAlmageed; Shrikanth Narayanan (Comput. Speech Lang., 2021)

Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction. - Arindam Jati; Amrutha Nadarajan; Raghuveer Peri; Karel Mundnich; Tiantian Feng; Benjamin Girault; Shrikanth Narayanan (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Physics-based multiple time-series univariate forecasting. - Sumanta Mukherjee; Arindam Jati; Kanthi K. Sarpatwar; Roman Vaculín (IEEE Big Data, 2022)

Distributed Incremental Machine Learning for Big Time Series Data. - Dhaval Salwala; Seshu Tirupathi; Brian Quanz; Wesley M. Gifford; Stuart Siegel; Vijay Ekambaram; Arindam Jati (IEEE Big Data, 2022)

Hierarchy-guided Model Selection for Time Series Forecasting. - Arindam Jati; Vijay Ekambaram; Shaonli Pal; Brian Quanz; Wesley M. Gifford; Pavithra Harsha; Stuart Siegel; Sumanta Mukherjee; Chandra Narayanaswami (CoRR, 2022)

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. - Vijay Ekambaram; Arindam Jati; Nam Nguyen; Phanwadee Sinthong; Jayant Kalagnanam (KDD, 2023)

Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting. - Arindam Jati; Vijay Ekambaram; Shaonli Pal; Brian Quanz; Wesley M. Gifford; Pavithra Harsha; Stuart Siegel; Sumanta Mukherjee; Chandra Narayanaswami (KDD, 2023)

TsSHAP: Robust model agnostic feature-based explainability for time series forecasting. - Vikas C. Raykar; Arindam Jati; Sumanta Mukherjee; Nupur Aggarwal; Kanthi K. Sarpatwar; Giridhar Ganapavarapu; Roman Vaculín (CoRR, 2023)

AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. - Santosh Palaskar; Vijay Ekambaram; Arindam Jati; Neelamadhav Gantayat; Avirup Saha; Seema Nagar; Nam H. Nguyen; Pankaj Dayama 001; Renuka Sindhgatta; Prateeti Mohapatra; Harshit Kumar; Jayant Kalagnanam; et al. (CoRR, 2023)

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. - Santosh Palaskar; Vijay Ekambaram; Arindam Jati; Neelamadhav Gantayat; Avirup Saha; Seema Nagar; Nam H. Nguyen; Pankaj Dayama 001; Renuka Sindhgatta; Prateeti Mohapatra; Harshit Kumar; Jayant Kalagnanam; et al. (AAAI, 2024)

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. - Vijay Ekambaram; Arindam Jati; Pankaj Dayama 001; Sumanta Mukherjee; Nam Nguyen; Wesley M. Gifford; Chandra Reddy; Jayant Kalagnanam (NeurIPS, 2024)

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. - Vijay Ekambaram; Arindam Jati; Nam H. Nguyen; Pankaj Dayama 001; Chandra Reddy; Wesley M. Gifford; Jayant Kalagnanam (CoRR, 2024)

Activations Through Extensions: A Framework To Boost Performance Of Neural Networks. - Chandramouli Kamanchi; Sumanta Mukherjee; Kameshwaran Sampath; Pankaj Dayama 001; Arindam Jati; Vijay Ekambaram; Dzung Phan (CoRR, 2024)

Towards Unbiased Evaluation of Time-series Anomaly Detector. - Debarpan Bhattacharya; Sumanta Mukherjee; Chandramouli Kamanchi; Vijay Ekambaram; Arindam Jati; Pankaj Dayama 001 (ICASSP, 2025)

TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis. - Vijay Ekambaram; Subodh Kumar; Arindam Jati; Sumanta Mukherjee; Tomoya Sakai; Pankaj Dayama 001; Wesley M. Gifford; Jayant Kalagnanam (CoRR, 2025)