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2020 – today
- 2024
[c22]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: 22962-22968- [i12]Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam:
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. CoRR abs/2401.03955 (2024) - [i11]Chandramouli Kamanchi, Sumanta Mukherjee, Kameshwaran Sampath, Pankaj Dayama, Arindam Jati, Vijay Ekambaram, Dzung Phan:
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks. CoRR abs/2408.03599 (2024) - [i10]Debarpan Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi, Vijay Ekambaram, Arindam Jati, Pankaj Dayama:
Towards Unbiased Evaluation of Time-series Anomaly Detector. CoRR abs/2409.13053 (2024) - 2023
- [c21]Vijay Ekambaram
, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam:
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. KDD 2023: 459-469 - [c20]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: 891-900 - [i9]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 abs/2303.12316 (2023) - [i8]Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam:
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. CoRR abs/2306.09364 (2023) - [i7]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 abs/2310.20280 (2023) - 2022
- [c19]Sumanta Mukherjee, Arindam Jati, Kanthi K. Sarpatwar, Roman Vaculín:
Physics-based multiple time-series univariate forecasting. IEEE Big Data 2022: 1054-1059 - [c18]Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati:
Distributed Incremental Machine Learning for Big Time Series Data. IEEE Big Data 2022: 2356-2363 - [i6]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 abs/2211.15092 (2022) - 2021
- [j5]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: 101199 (2021) - [j4]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: 756-769 (2021) - [c17]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: 6164-6168 - 2020
- [c16]Arindam Jati, Dimitra Emmanouilidou:
Supervised Deep Hashing for Efficient Audio Event Retrieval. ICASSP 2020: 4497-4501 - [c15]Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth Narayanan:
Robust Speaker Recognition Using Unsupervised Adversarial Invariance. ICASSP 2020: 6614-6618 - [c14]Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan:
An Empirical Analysis of Information Encoded in Disentangled Neural Speaker Representations. Odyssey 2020: 194-201 - [i5]Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan:
An empirical analysis of information encoded in disentangled neural speaker representations. CoRR abs/2002.03520 (2020) - [i4]Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan:
Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems. CoRR abs/2008.07685 (2020)
2010 – 2019
- 2019
- [j3]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): 1577-1589 (2019) - [c13]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: 6-10 - [c12]Krishna Somandepalli, Naveen Kumar, Arindam Jati, Panayiotis G. Georgiou, Shrikanth Narayanan:
Multiview Shared Subspace Learning Across Speakers and Speech Commands. INTERSPEECH 2019: 2320-2324 - [c11]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: 2463-2467 - [i3]Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth S. Narayanan:
Robust speaker recognition using unsupervised adversarial invariance. CoRR abs/1911.00940 (2019) - [i2]Arindam Jati, Amrutha Nadarajan, Karel Mundnich, Shrikanth S. Narayanan:
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting. CoRR abs/1911.03843 (2019) - 2018
- [c10]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: 4944-4948 - [c9]Arindam Jati, Panayiotis G. Georgiou:
An Unsupervised Neural Prediction Framework for Learning Speaker Embeddings Using Recurrent Neural Networks. INTERSPEECH 2018: 1131-1135 - [i1]Arindam Jati, Panayiotis G. Georgiou:
Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics. CoRR abs/1802.07860 (2018) - 2017
- [c8]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: 3567-3571 - 2016
- [c7]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: 43-50 - 2014
- [j2]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) - [j1]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): 353-362 (2014) - 2012
- [c6]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: 55-62 - [c5]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: 1-8 - [c4]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: 1-8 - [c3]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: 53-58 - [c2]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: 1109-1115 - 2011
- [c1]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: 721-733
Coauthor Index
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