Arindam Jati - RankMe

43 papers A* 4A 4B 4Misc 6Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Memory-Efficient Batching for Time Series Transformer Training: A Systematic Evaluation. Algorithms Phanwadee Sinthong, Nam Nguyen, Vijay Ekambaram, Arindam Jati, Jayant Kalagnanam, Peeravit Koad
2025	J	`jnl`	TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis. CoRR Vijay Ekambaram, Subodh Kumar, Arindam Jati, Sumanta Mukherjee, Tomoya Sakai, Pankaj Dayama, Wesley M. Gifford, Jayant Kalagnanam
2025	Misc	`conf`	Towards Unbiased Evaluation of Time-series Anomaly Detector. ICASSP Debarpan Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi, Vijay Ekambaram, Arindam Jati, Pankaj Dayama
2024	J	`jnl`	Activations Through Extensions: A Framework To Boost Performance Of Neural Networks. CoRR Chandramouli Kamanchi, Sumanta Mukherjee, Kameshwaran Sampath, Pankaj Dayama, Arindam Jati, Vijay Ekambaram, Dzung Phan
2024	A*	`conf`	AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. AAAI 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
2024	A*	`conf`	Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. NeurIPS Vijay Ekambaram, Arindam Jati, Pankaj Dayama, Sumanta Mukherjee, Nam Nguyen, Wesley M. Gifford, Chandra Reddy, Jayant Kalagnanam
2024	J	`jnl`	Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. CoRR Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam
2024	J	`jnl`	Towards Unbiased Evaluation of Time-series Anomaly Detector. CoRR Debarpan Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi, Vijay Ekambaram, Arindam Jati, Pankaj Dayama
2023	J	`jnl`	AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. CoRR 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
2023	A*	`conf`	Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting. KDD Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
2023	A*	`conf`	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. KDD Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
2023	J	`jnl`	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. CoRR Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
2023	J	`jnl`	TsSHAP: Robust model agnostic feature-based explainability for time series forecasting. CoRR Vikas C. Raykar, Arindam Jati, Sumanta Mukherjee, Nupur Aggarwal, Kanthi K. Sarpatwar, Giridhar Ganapavarapu, Roman Vaculín
2022	B	`conf`	Distributed Incremental Machine Learning for Big Time Series Data. IEEE Big Data Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati
2022	J	`jnl`	Hierarchy-guided Model Selection for Time Series Forecasting. CoRR Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
2022	B	`conf`	Physics-based multiple time-series univariate forecasting. IEEE Big Data Sumanta Mukherjee, Arindam Jati, Kanthi K. Sarpatwar, Roman Vaculín
2021	Misc	`conf`	Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training. ICASSP Monisankha Pal, Arindam Jati, Raghuveer Peri, Chin-Cheng Hsu, Wael AbdAlmageed, Shrikanth Narayanan
2021	J	`jnl`	Adversarial attack and defense strategies for deep speaker recognition systems. Comput. Speech Lang. Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan
2021	J	`jnl`	Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction. IEEE ACM Trans. Audio Speech Lang. Process. Arindam Jati, Amrutha Nadarajan, Raghuveer Peri, Karel Mundnich, Tiantian Feng, Benjamin Girault, Shrikanth Narayanan
2020	J	`jnl`	Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems. CoRR Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan
2020	—	`conf`	An Empirical Analysis of Information Encoded in Disentangled Neural Speaker Representations. Odyssey Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan
2020	J	`jnl`	An empirical analysis of information encoded in disentangled neural speaker representations. CoRR Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan
2020	Misc	`conf`	Robust Speaker Recognition Using Unsupervised Adversarial Invariance. ICASSP Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth Narayanan
2020	Misc	`conf`	Supervised Deep Hashing for Efficient Audio Event Retrieval. ICASSP Arindam Jati, Dimitra Emmanouilidou
2019	J	`jnl`	Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting. CoRR Arindam Jati, Amrutha Nadarajan, Karel Mundnich, Shrikanth S. Narayanan
2019	Misc	`conf`	Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection. ICASSP Arindam Jati, Naveen Kumar, Ruxin Chen, Panayiotis G. Georgiou
2019	A	`conf`	Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech. INTERSPEECH Arindam Jati, Raghuveer Peri, Monisankha Pal, Tae Jin Park, Naveen Kumar, Ruchir Travadi, Panayiotis G. Georgiou, Shrikanth Narayanan
2019	A	`conf`	Multiview Shared Subspace Learning Across Speakers and Speech Commands. INTERSPEECH Krishna Somandepalli, Naveen Kumar, Arindam Jati, Panayiotis G. Georgiou, Shrikanth Narayanan
2019	J	`jnl`	Neural Predictive Coding Using Convolutional Neural Networks Toward Unsupervised Learning of Speaker Characteristics. IEEE ACM Trans. Audio Speech Lang. Process. Arindam Jati, Panayiotis G. Georgiou
2019	J	`jnl`	Robust speaker recognition using unsupervised adversarial invariance. CoRR Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth S. Narayanan
2018	A	`conf`	An Unsupervised Neural Prediction Framework for Learning Speaker Embeddings Using Recurrent Neural Networks. INTERSPEECH Arindam Jati, Panayiotis G. Georgiou
2018	J	`jnl`	Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics. CoRR Arindam Jati, Panayiotis G. Georgiou
2018	Misc	`conf`	Towards Predicting Physiology from Speech During Stressful Conversations: Heart Rate and Respiratory Sinus Arrhythmia. ICASSP Arindam Jati, Paula G. Williams, Brian R. Baucom, Panayiotis G. Georgiou
2017	A	`conf`	Speaker2Vec: Unsupervised Learning and Adaptation of a Speaker Manifold Using Deep Neural Networks with an Evaluation on Speaker Segmentation. INTERSPEECH Arindam Jati, Panayiotis G. Georgiou
2016	—	`conf`	Multimodal and Multiresolution Depression Detection from Speech and Facial Landmark Features. AVEC@ACM Multimedia Md. Nasir, Arindam Jati, Prashanth Gurunath Shivakumar, Sandeep Nallan Chakravarthula, Panayiotis G. Georgiou
2014	J	`jnl`	Object-Shape Recognition by tactile Image Analysis using Support Vector Machine. Int. J. Pattern Recognit. Artif. Intell. Anwesha Khasnobish, Arindam Jati, Garima Singh, Amit Konar, D. N. Tibarewala
2014	J	`jnl`	Object-shape recognition and 3D reconstruction from tactile sensor images. Medical Biol. Eng. Comput. Anwesha Khasnobish, Garima Singh, Arindam Jati, Amit Konar, D. N. Tibarewala
2012	—	`conf`	A Comparative Analysis of Emotion Recognition from Stimulated EEG Signals. SocProS Garima Singh, Arindam Jati, Anwesha Khasnobish, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Ramadoss Janarthanan
2012	B	`conf`	A hybridisation of Improved Harmony Search and Bacterial Foraging for multi-robot motion planning. IEEE Congress on Evolutionary Computation Arindam Jati, Garima Singh, Pratyusha Rakshit, Amit Konar, Eunjin Kim, Atulya K. Nagar
2012	—	`conf`	Object shape recognition from tactile images using regional descriptors. NaBIC Garima Singh, Arindam Jati, Anwesha Khasnobish, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Atulya K. Nagar
2012	B	`conf`	Object-shape recognition from tactile images using a feed-forward neural network. IJCNN Anwesha Khasnobish, Arindam Jati, Garima Singh, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Eunjin Kim, Atulya K. Nagar
2012	—	`conf`	The Role of Empirical Mode Decomposition on Emotion Classification Using Stimulated EEG Signals. ACITY (3) Anwesha Khasnobish, Saugat Bhattacharyya, Garima Singh, Arindam Jati, Amit Konar, D. N. Tibarewala, Ramadoss Janarthanan
2011	—	`conf`	Facial Action Point Based Emotion Recognition by Principal Component Analysis. SocProS (2) Anisha Halder, Arindam Jati, Garima Singh, Amit Konar, Aruna Chakraborty, Ramadoss Janarthanan