Arindam Jati

According to our database, Arindam Jati authored at least 33 papers between 2011 and 2024.

Collaborative distances:

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

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, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam

CoRR, 2024

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, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj

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

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, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj

CoRR, 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

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting.

Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Distributed Incremental Machine Learning for Big Time Series Data.

Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati

Proceedings of the IEEE International Conference on Big Data, 2022

Physics-based multiple time-series univariate forecasting.

Sumanta Mukherjee, Arindam Jati, Kanthi K. Sarpatwar, Roman Vaculín

Proceedings of the IEEE International Conference on Big Data, 2022

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

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

Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training.

Monisankha Pal, Arindam Jati, Raghuveer Peri, Chin-Cheng Hsu, Wael AbdAlmageed, Shrikanth Narayanan

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

An Empirical Analysis of Information Encoded in Disentangled Neural Speaker Representations.

Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Robust Speaker Recognition Using Unsupervised Adversarial Invariance.

Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth Narayanan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Supervised Deep Hashing for Efficient Audio Event Retrieval.

Arindam Jati, Dimitra Emmanouilidou

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting.

Arindam Jati, Amrutha Nadarajan, Karel Mundnich, Shrikanth S. Narayanan

CoRR, 2019

Multiview Shared Subspace Learning Across Speakers and Speech Commands.

Krishna Somandepalli, Naveen Kumar, Arindam Jati, Panayiotis G. Georgiou, Shrikanth Narayanan

Proceedings of the Interspeech 2019, 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, Ruchir Travadi, Panayiotis G. Georgiou, Shrikanth Narayanan

Proceedings of the Interspeech 2019, 2019

Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection.

Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis G. Georgiou

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics.

Arindam Jati, Panayiotis G. Georgiou

CoRR, 2018

An Unsupervised Neural Prediction Framework for Learning Speaker Embeddings Using Recurrent Neural Networks.

Arindam Jati, Panayiotis G. Georgiou

Proceedings of the Interspeech 2018, 2018

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

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Speaker2Vec: Unsupervised Learning and Adaptation of a Speaker Manifold Using Deep Neural Networks with an Evaluation on Speaker Segmentation.

Arindam Jati, Panayiotis G. Georgiou

Proceedings of the Interspeech 2017, 2017

2016

Multimodal and Multiresolution Depression Detection from Speech and Facial Landmark Features.

Md. Nasir, Arindam Jati, Prashanth Gurunath Shivakumar, Sandeep Nallan Chakravarthula, Panayiotis G. Georgiou

Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

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

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

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

Proceedings of the Second International Conference on Soft Computing for Problem Solving, 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

Proceedings of the Fourth World Congress on Nature and Biologically Inspired Computing, 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

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

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

Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012

2011

Facial Action Point Based Emotion Recognition by Principal Component Analysis.

Anisha Halder, Arindam Jati, Garima Singh, Amit Konar, Aruna Chakraborty, Ramadoss Janarthanan

Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011