Srivastava, Mani

9 publications

NeurIPS 2025 ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources Jason Wu, Yuyang Yuan, Kang Yang, Lance M. Kaplan, Mani Srivastava

NeurIPS 2025 Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges Pengrui Quan, Brian Wang, Kang Yang, Liying Han, Mani Srivastava

NeurIPS 2025 GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis Kang Yang, Gaofeng Dong, Sijie Ji, Wan Du, Mani Srivastava

NeurIPSW 2024 Reimagining Time Series Foundation Models: Metadata and State-Space Model Perspectives Pengrui Quan, Ozan Baris Mulayim, Liying Han, Dezhi Hong, Mario Berges, Mani Srivastava

CVPR 2023 Depth Estimation from Camera Image and mmWave Radar Point Cloud Akash Deep Singh, Yunhao Ba, Ankur Sarker, Howard Zhang, Achuta Kadambi, Stefano Soatto, Mani Srivastava, Alex Wong

NeurIPS 2023 FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas Diggavi, Mani Srivastava, Tarek Abdelzaher

UAI 2023 Heteroskedastic Geospatial Tracking with Distributed Camera Networks Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani Srivastava, Benjamin M. Marlin

NeurIPS 2020 How Can I Explain This to You? an Empirical Study of Deep Neural Network Explanation Methods Jeya Vikranth Jeyakumar, Joseph Noor, Yu-Hsi Cheng, Luis Garcia, Mani Srivastava

CoRL 2020 Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays Sandeep Singh Sandha, Luis Garcia, Bharathan Balaji, Fatima Anwar, Mani Srivastava