Augmentation of Images through DCGANs. - Himanshu Arora; Samyak Jain; Sanket Anand; Dharmveer Singh Rajpoot (IC3, 2019)

Ligand based virtual screening using SVM on GPU. - P. B. Jayaraj; Samyak Jain (Comput. Biol. Chem., 2019)

Tidying Deep Saliency Prediction Architectures. - Navyasri Reddy; Samyak Jain; Pradeep Yarlagadda; Vineet Gandhi (IROS, 2020)

Towards Multimodal MIR: Predicting individual differences from music-induced movement. - Yudhik Agrawal; Samyak Jain; Emily Carlson; Petri Toiviainen; Vinoo Alluri (ISMIR, 2020)

Price Optimization in Fashion E-commerce. - Sajan Kedia; Samyak Jain; Abhishek Sharma (CoRR, 2020)

Exploiting Temporal Attention Features for Effective Denoising in Videos. - Aryansh Omray; Samyak Jain; Utsav Krishnan; Pratik Chattopadhyay (CoRR, 2020)

AViNet: Diving Deep into Audio-Visual Saliency Prediction. - Samyak Jain; Pradeep Yarlagadda; Ramanathan Subramanian; Vineet Gandhi (CoRR, 2020)

Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. - Sravanti Addepalli; Samyak Jain; Gaurang Sriramanan; R. Venkatesh Babu (CVPR Workshops, 2021)

Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives. - Koteswar Rao Jerripothula; Sarvesh Kumar Shukla; Samyak Jain; Shudhanshu Singh (IECON, 2021)

System Design of Ground Based Sounder for Nowcasting. - Mahendra P. S. Bhadoria; Latheef A. Shaik; Anamiya Bhattacharya; Shrija Bhattacharyya; Ranajit Dey; Madhav Das; Satyendra Kushwaha; Ankit Sharma; Samyak Jain; Prantik Chakraborty; Rajeev Jyoti (IGARSS, 2021)

ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction. - Samyak Jain; Pradeep Yarlagadda; Shreyank Jyoti; Shyamgopal Karthik; Ramanathan Subramanian; Vineet Gandhi (IROS, 2021)

Scaling Adversarial Training to Large Perturbation Bounds. - Sravanti Addepalli; Samyak Jain; Gaurang Sriramanan; R. Venkatesh Babu (ECCV (5), 2022)

Efficient and Effective Augmentation Strategy for Adversarial Training. - Sravanti Addepalli; Samyak Jain; Venkatesh Babu R. (NeurIPS, 2022)

DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. - Samyak Jain; Sravanti Addepalli; Pawan Kumar Sahu; Priyam Dey; R. Venkatesh Babu (CVPR, 2023)

EfficientNet architecture and attention mechanism-based wheat disease identification model. - Sapna Nigam; Rajni Jain; Vaibhav Kumar Singh; Sudeep Marwaha; Alka Arora; Samyak Jain (ICMLDE, 2023)

Live Bidding Application: Predicting Shill Bidding Using Machine Learning. - Chetan Mudlapur; Samyak Jain; Shruti Mittal; Pravar Jain; Vikram Neerugatti (MIWAI, 2023)

Analyzing Cryptocurrency trends using Tweet Sentiment Data and User Meta-Data. - Samyak Jain; Sarthak Johari; Radhakrishnan Delhibabu (CoRR, 2023)

Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions. - Samyak Jain; Manuel Burger; Gunnar Rätsch; Rita Kuznetsova (CoRR, 2023)

Stronger and Transferable Node Injection Attacks. - Samyak Jain; Tanima Dutta (AAAI, 2024)

Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. - Samyak Jain; Parth Chhabra; Atula Tejaswi Neerkaje; Puneet Mathur; Ramit Sawhney; Shivam Agarwal; Preslav Nakov; Sudheer Chava; Dinesh Manocha (LREC/COLING, 2024)

Towards Understanding and Improving Adversarial Robustness of Vision Transformers. - Samyak Jain; Tanima Dutta (CVPR, 2024)

Uncovering Bias: Exploring Gender Dynamics in Distance-Aware Mixup Techniques. - Samyak Jain; Parth Chhabra; Ramit Sawhney (Tiny Papers @ ICLR, 2024)

Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. - Samyak Jain; Robert Kirk; Ekdeep Singh Lubana; Robert P. Dick; Hidenori Tanaka; Tim Rocktäschel; Edward Grefenstette; David Scott Krueger (ICLR, 2024)

Beyond Words: A Topological Exploration of Coherence in Text Documents. - Samyak Jain; Rishi Singhal; Sriram Krishna; Yaman Kumar Singla; Rajiv Ratn Shah (Tiny Papers @ ICLR, 2024)

Transfer Learning to Identify Multilingual Machine Genenrated Text. - Samyak Jain; Anshul Bhardwaj; Mohit Somani; Alka Kumari; Disha Goyal; Pritish Kumar Varadwaj (IHCI (1), 2024)

What Makes and Breaks Safety Fine-tuning? A Mechanistic Study. - Samyak Jain; Ekdeep Singh Lubana; Kemal Oksuz; Tom Joy; Philip Torr 001; Amartya Sanyal; Puneet K. Dokania (NeurIPS, 2024)

Human identification using AI. - Purushottam Sharma; Aazar Imran Khan; Samyak Jain (Mechatron. Syst. Control., 2024)

Bonsai: Gradient-free Graph Distillation for Node Classification. - Mridul Gupta; Samyak Jain; Vansh Ramani; Hariprasad Kodamana; Sayan Ranu (CoRR, 2024)

Bonsai: Gradient-free Graph Condensation for Node Classification. - Mridul Gupta; Samyak Jain; Vansh Ramani; Hariprasad Kodamana; Sayan Ranu (ICLR, 2025)