Srinivas Anumasa

According to our database, Srinivas Anumasa authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics.

Qiran Zou, Hou Hei Lam, Wenhao Zhao, Tingting Chen, Yiming Tang, Samson Yu, Yingtao Zhu, Srinivas Anumasa, Zufeng Zhang, Tianyi Zhang, Chang Liu, Zhengyao Jiang, Anirudh Goyal, Dianbo Liu

CoRR, May, 2026

Navigating heterogeneous protein landscapes through geometry-aware smoothing.

Srinivas Anumasa, Barath Chandran. C, Tingting Chen, Nuwaisir Mohammad Rahman, Yingtao Zhu, Rushi Shah, Hongyu He, Peisong Zhang, Yizhen Liao, Yiming Tang, Yong Shen, Tianfan Fu, Rui Qing, Xiao Li, Sebastian Maurer-Stroh, Xinyi Su, Zhizhuo Zhang, Dianbo Liu

CoRR, February, 2026

AI-generated data contamination erodes pathological variability and diagnostic reliability.

Hongyu He, Shaowen Xiang, Ye Zhang, Yingtao Zhu, Jin Zhang, Hao Deng, Emily Alsentzer, Yun Liu, Qingyu Chen, Kun-Hsing Yu, Andrew Marshall, Tingting Chen, Srinivas Anumasa, Daniel Ebner, Dean Ho, Kee Yuan Ngiam, Ching-Yu Cheng, Dianbo Liu

CoRR, January, 2026

2025

Laplacian Score Sharpening for Mitigating Hallucination in Diffusion Models.

Barath Chandran. C, Srinivas Anumasa, Dianbo Liu

CoRR, November, 2025

Data-Dependent Smoothing for Protein Discovery with Walk-Jump Sampling.

Srinivas Anumasa, Barath Chandran. C, Tingting Chen, Dianbo Liu

CoRR, September, 2025

Interpretable Evaluation of AI-Generated Content with Language-Grounded Sparse Encoders.

Yiming Tang, Arash Lagzian, Srinivas Anumasa, Qiran Zou, Trang Nguyen, Ehsan Adeli, Ching-Yu Cheng, Yilun Du, Dianbo Liu

CoRR, August, 2025

Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs.

Tingting Chen, Srinivas Anumasa, Beibei Lin, Vedant Shah, Anirudh Goyal, Dianbo Liu

CoRR, February, 2025

Multi-Novelty: Improve the Diversity and Novelty of Contents Generated by Large Language Models via inference-time Multi-Views Brainstorming.

Arash Lagzian, Srinivas Anumasa, Dianbo Liu

CoRR, February, 2025

2024

Data Driven Threshold and Potential Initialization for Spiking Neural Networks.

Velibor Bojkovic, Srinivas Anumasa, Giulia De Masi, Bin Gu, Huan Xiong

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Enhancing Training of Spiking Neural Network with Stochastic Latency.

Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic, Giulia De Masi, Huan Xiong, Bin Gu

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

2023

Continuous Depth Recurrent Neural Differential Equations.

Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates.

Haiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, Bin Gu

Proceedings of the International Conference on Machine Learning, 2023

2022

Latent Time Neural Ordinary Differential Equations.

Srinivas Anumasa, P. K. Srijith

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification.

Maunika Tamire, Srinivas Anumasa, P. K. Srijith

CoRR, 2021

Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations.

Srinivas Anumasa, P. K. Srijith

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Delay Differential Neural Networks.

Srinivas Anumasa, P. K. Srijith

Proceedings of the ICMLT 2021: 6th International Conference on Machine Learning Technologies, Jeju Island, Republic of Korea, April 23, 2021

2020

Decision Making under Uncertainty with Convolutional Deep Gaussian Processes.

Dinesh Jain, Srinivas Anumasa, P. K. Srijith

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020