Nitish Srivastava

30 papers A* 4A 3Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs. CoRR Arman Gupta, Govind Waghmare, Gaurav Oberoi, Nitish Srivastava
2025	J	`jnl`	Vesper: A Versatile Sparse Linear Algebra Accelerator With Configurable Compute Patterns. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hanchen Jin, Zichao Yue, Zhongyuan Zhao, Yixiao Du, Chenhui Deng, Nitish Srivastava, Zhiru Zhang
2022	J	`jnl`	Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation. CoRR Martin Bertran Lopez, Walter Talbott, Nitish Srivastava, Joshua M. Susskind
2021	J	`jnl`	An Attention Free Transformer. CoRR Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
2021	A	`conf`	On the generalization of learning-based 3D reconstruction. WACV Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
2021	J	`jnl`	Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind
2021	A*	`conf`	Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. ICML Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
2021	J	`jnl`	Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. CoRR Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
2021	A*	`conf`	Unconstrained Scene Generation with Locally Conditioned Radiance Fields. ICCV Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
2021	J	`jnl`	Unconstrained Scene Generation with Locally Conditioned Radiance Fields. CoRR Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
2020	A*	`conf`	Capsules with Inverted Dot-Product Attention Routing. ICLR Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
2020	J	`jnl`	Capsules with Inverted Dot-Product Attention Routing. CoRR Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
2020	J	`jnl`	On the generalization of learning-based 3D reconstruction. CoRR Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
2019	J	`jnl`	Geometric Capsule Autoencoders for 3D Point Clouds. CoRR Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
2017	—	`—`	Deep Learning Models for Unsupervised and Transfer Learning. Nitish Srivastava
2015	A	`conf`	Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. BMVC Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov
2015	J	`jnl`	Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. CoRR Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov
2015	J	`jnl`	Initialization Strategies of Spatio-Temporal Convolutional Neural Networks. CoRR Elman Mansimov, Nitish Srivastava, Ruslan Salakhutdinov
2015	A*	`conf`	Unsupervised Learning of Video Representations using LSTMs. ICML Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
2015	J	`jnl`	Unsupervised Learning of Video Representations using LSTMs. CoRR Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
2014	J	`jnl`	Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov
2014	—	`conf`	Learning Generative Models with Visual Attention. NIPS Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov
2014	J	`jnl`	Multimodal learning with deep Boltzmann machines. J. Mach. Learn. Res. Nitish Srivastava, Ruslan Salakhutdinov
2013	—	`conf`	Discriminative Transfer Learning with Tree-based Priors. NIPS Nitish Srivastava, Ruslan Salakhutdinov
2013	J	`jnl`	Learning generative models with visual attention. CoRR Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov
2013	A	`conf`	Modeling Documents with Deep Boltzmann Machines. UAI Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton
2013	J	`jnl`	Modeling Documents with Deep Boltzmann Machines. CoRR Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	J	`jnl`	Improving neural networks by preventing co-adaptation of feature detectors CoRR Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov
2012	—	`conf`	Multimodal Learning with Deep Boltzmann Machines. NIPS Nitish Srivastava, Ruslan Salakhutdinov
2010	—	`conf`	Enriching textbooks through data mining. ACM DEV Rakesh Agrawal, Sreenivas Gollapudi, Krishnaram Kenthapadi, Nitish Srivastava, Raja Velu