Arindam Jati

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Topics

Speaker Recognition

Top Venues

Publications

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
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. AAAI (2024)
Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam
Tiny Time Mixers (TTMs): Fast Pretrained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. CoRR (2024)
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
AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. CoRR (2023)
Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. KDD (2023)
Vikas C. Raykar, Arindam Jati, Sumanta Mukherjee, Nupur Aggarwal, Kanthi K. Sarpatwar, Giridhar Ganapavarapu, Roman Vaculín
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting. CoRR (2023)
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting. KDD (2023)
Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. CoRR (2023)
Sumanta Mukherjee, Arindam Jati, Kanthi K. Sarpatwar, Roman Vaculín
Physics-based multiple time-series univariate forecasting. Big Data (2022)
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
Hierarchy-guided Model Selection for Time Series Forecasting. CoRR (2022)
Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati
Distributed Incremental Machine Learning for Big Time Series Data. Big Data (2022)
Arindam Jati, Amrutha Nadarajan, Raghuveer Peri, Karel Mundnich, Tiantian Feng, Benjamin Girault, Shrikanth Narayanan
Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan
Adversarial attack and defense strategies for deep speaker recognition systems. Comput. Speech Lang. 68 (2021)
Monisankha Pal, Arindam Jati, Raghuveer Peri, Chin-Cheng Hsu, Wael AbdAlmageed, Shrikanth Narayanan
Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training. ICASSP (2021)
Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan
An Empirical Analysis of Information Encoded in Disentangled Neural Speaker Representations. Odyssey (2020)
Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan
Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems. CoRR (2020)
Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan
An empirical analysis of information encoded in disentangled neural speaker representations. CoRR (2020)
Arindam Jati, Dimitra Emmanouilidou
Supervised Deep Hashing for Efficient Audio Event Retrieval. ICASSP (2020)
Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth Narayanan
Robust Speaker Recognition Using Unsupervised Adversarial Invariance. ICASSP (2020)
Arindam Jati, Raghuveer Peri, Monisankha Pal, Tae Jin Park, Naveen Kumar, Ruchir Travadi, Panayiotis G. Georgiou, Shrikanth Narayanan
Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech. INTERSPEECH (2019)
Krishna Somandepalli, Naveen Kumar, Arindam Jati, Panayiotis G. Georgiou, Shrikanth Narayanan
Multiview Shared Subspace Learning Across Speakers and Speech Commands. INTERSPEECH (2019)
Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis G. Georgiou
Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection. ICASSP (2019)
Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth S. Narayanan
Robust speaker recognition using unsupervised adversarial invariance. CoRR (2019)
Arindam Jati, Panayiotis G. Georgiou
Neural Predictive Coding Using Convolutional Neural Networks Toward Unsupervised Learning of Speaker Characteristics. IEEE ACM Trans. Audio Speech Lang. Process. 27 (10) (2019)
Arindam Jati, Amrutha Nadarajan, Karel Mundnich, Shrikanth S. Narayanan
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting. CoRR (2019)
Arindam Jati, Panayiotis G. Georgiou
Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics. CoRR (2018)
Arindam Jati, Panayiotis G. Georgiou
An Unsupervised Neural Prediction Framework for Learning Speaker Embeddings Using Recurrent Neural Networks. INTERSPEECH (2018)
Arindam Jati, Paula G. Williams, Brian R. Baucom, Panayiotis G. Georgiou
Towards Predicting Physiology from Speech During Stressful Conversations: Heart Rate and Respiratory Sinus Arrhythmia. ICASSP (2018)
Arindam Jati, Panayiotis G. Georgiou
Speaker2Vec: Unsupervised Learning and Adaptation of a Speaker Manifold Using Deep Neural Networks with an Evaluation on Speaker Segmentation. INTERSPEECH (2017)
Md. Nasir, Arindam Jati, Prashanth Gurunath Shivakumar, Sandeep Nallan Chakravarthula, Panayiotis G. Georgiou
Multimodal and Multiresolution Depression Detection from Speech and Facial Landmark Features. AVEC@ACM Multimedia (2016)
Anwesha Khasnobish, Garima Singh, Arindam Jati, Amit Konar, D. N. Tibarewala
Object-shape recognition and 3D reconstruction from tactile sensor images. Medical Biol. Eng. Comput. 52 (4) (2014)
Anwesha Khasnobish, Arindam Jati, Garima Singh, Amit Konar, D. N. Tibarewala
Object-Shape Recognition by tactile Image Analysis using Support Vector Machine. Int. J. Pattern Recognit. Artif. Intell. 28 (4) (2014)
Arindam Jati, Garima Singh, Pratyusha Rakshit, Amit Konar, Eunjin Kim, Atulya K. Nagar
A hybridisation of Improved Harmony Search and Bacterial Foraging for multi-robot motion planning. IEEE Congress on Evolutionary Computation (2012)
Anwesha Khasnobish, Saugat Bhattacharyya, Garima Singh, Arindam Jati, Amit Konar, D. N. Tibarewala, Ramadoss Janarthanan
The Role of Empirical Mode Decomposition on Emotion Classification Using Stimulated EEG Signals. ACITY (3) (2012)
Anwesha Khasnobish, Arindam Jati, Garima Singh, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Eunjin Kim, Atulya K. Nagar
Object-shape recognition from tactile images using a feed-forward neural network. IJCNN (2012)
Garima Singh, Arindam Jati, Anwesha Khasnobish, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Atulya K. Nagar
Object shape recognition from tactile images using regional descriptors. NaBIC (2012)
Garima Singh, Arindam Jati, Anwesha Khasnobish, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Ramadoss Janarthanan
A Comparative Analysis of Emotion Recognition from Stimulated EEG Signals. SocProS (2012)
Anisha Halder, Arindam Jati, Garima Singh, Amit Konar, Aruna Chakraborty, Ramadoss Janarthanan
Facial Action Point Based Emotion Recognition by Principal Component Analysis. SocProS (2) (2011)