Aditya Grover
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
13
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | The Pitfalls of KV Cache Compression. | Alex Chen, Renato Lui Geh, Aditya Grover, Guy Van den Broeck, Daniel Mingyi Israel |
| 2026 | EACL | Enabling Autoregressive Models to Fill In Masked Tokens. | Daniel Israel, Aditya Grover, Guy Van den Broeck |
| 2025 | ACL | Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization. | Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover |
| 2025 | AISTATS | Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models. | Siyan Zhao, Daniel Israel, Guy Van den Broeck, Aditya Grover |
| 2025 | CVPR | OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. | Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover |
| 2025 | ICCV | Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection. | Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Arsh Koneru, Yusuke Kato, Kazuki Kozuka, Aditya Grover |
| 2025 | ICLR | VideoPhy: Evaluating Physical Commonsense for Video Generation. | Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover |
| 2025 | ICLR | LICO: Large Language Models for In-Context Molecular Optimization. | Tung Nguyen, Aditya Grover |
| 2025 | NAACL | InstructAny2Pix: Image Editing with Multi-Modal Prompts. | Shufan Li, Harkanwar Singh, Aditya Grover |
| 2024 | CVPR | VideoCon: Robust Video-Language Alignment via Contrast Captions. | Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover |
| 2024 | ECCV | Mamba-ND: Selective State Space Modeling for Multi-dimensional Data. | Shufan Li, Harkanwar Singh, Aditya Grover |
| 2024 | ICLR | Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models. | Hritik Bansal, John Dang, Aditya Grover |
| 2024 | ICLR | Group Preference Optimization: Few-Shot Alignment of Large Language Models. | Siyan Zhao, John Dang, Aditya Grover |
| 2023 | AAAI | Generative Decision Making Under Uncertainty. | Aditya Grover |
| 2023 | ICCV | CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. | Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang |
| 2023 | ICLR | Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL. | Baiting Zhu, Meihua Dang, Aditya Grover |
| 2023 | ICML | Diffusion Models for Black-Box Optimization. | Siddarth Krishnamoorthy, Satvik Mehul Mashkaria, Aditya Grover |
| 2023 | ICML | Generative Pretraining for Black-Box Optimization. | Satvik Mehul Mashkaria, Siddarth Krishnamoorthy, Aditya Grover |
| 2023 | ICML | ClimaX: A foundation model for weather and climate. | Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover |
| 2023 | ICML | Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. | Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover |
| 2022 | AAAI | Frozen Pretrained Transformers as Universal Computation Engines. | Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch |
| 2022 | AISTATS | Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. | Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady |
| 2022 | ICLR | It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation. | Yuqing Du, Pieter Abbeel, Aditya Grover |
| 2022 | ICLR | Frame Averaging for Invariant and Equivariant Network Design. | Omri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman |
| 2022 | ICML | Matching Normalizing Flows and Probability Paths on Manifolds. | Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Maximilian Nickel, Aditya Grover, Ricky T. Q. Chen, Yaron Lipman |
| 2022 | ICML | Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling. | Tung Nguyen, Aditya Grover |
| 2022 | ICML | Online Decision Transformer. | Qinqing Zheng, Amy Zhang, Aditya Grover |
| 2021 | ICLR | Reset-Free Lifelong Learning with Skill-Space Planning. | Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch |
| 2021 | ICLR | Anytime Sampling for Autoregressive Models via Ordered Autoencoding. | Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon |
| 2020 | AAAI | AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. | Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon |
| 2020 | AISTATS | Permutation Invariant Graph Generation via Score-Based Generative Modeling. | Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon |
| 2020 | ICML | Fair Generative Modeling via Weak Supervision. | Kristy Choi, Aditya Grover, Trisha Singh, Rui Shu, Stefano Ermon |
| 2019 | AISTATS | Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization. | Aditya Grover, Stefano Ermon |
| 2019 | AISTATS | Learning Controllable Fair Representations. | Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon |
| 2019 | ICLR | AlignFlow: Learning from multiple domains via normalizing flows. | Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon |
| 2019 | ICLR | Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting. | Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon |
| 2019 | ICLR | Stochastic Optimization of Sorting Networks via Continuous Relaxations. | Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon |
| 2019 | ICML | Neural Joint Source-Channel Coding. | Kristy Choi, Kedar Tatwawadi, Aditya Grover, Tsachy Weissman, Stefano Ermon |
| 2019 | ICML | Graphite: Iterative Generative Modeling of Graphs. | Aditya Grover, Aaron Zweig, Stefano Ermon |
| 2018 | AAAI | Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models. | Aditya Grover, Manik Dhar, Stefano Ermon |
| 2018 | AAAI | Boosted Generative Models. | Aditya Grover, Stefano Ermon |
| 2018 | AISTATS | Variational Rejection Sampling. | Aditya Grover, Ramki Gummadi, Miguel Lzaro-Gredilla, Dale Schuurmans, Stefano Ermon |
| 2018 | AISTATS | Best arm identification in multi-armed bandits with delayed feedback. | Aditya Grover, Todor M. Markov, Peter M. Attia, Norman Jin, Nicolas Perkins, Bryan Cheong, Michael H. Chen, Zi Yang, Stephen J. Harris, William C. Chueh, Stefano Ermon |
| 2018 | ICML | Modeling Sparse Deviations for Compressed Sensing using Generative Models. | Manik Dhar, Aditya Grover, Stefano Ermon |
| 2018 | ICML | Learning Policy Representations in Multiagent Systems. | Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards |
| 2018 | MDM | ROGER: An On-Line Flight Efficiency Monitoring System Using ADS-B Data. | Shen Wang, Aditya Grover, Brian Mac Namee, Philip Plantholt, Javier Lopez-Leones, Pablo Sanchez-Escalonilla |
| 2016 | IJCAI | Contextual Symmetries in Probabilistic Graphical Models. | Ankit Anand, Aditya Grover, Mausam, Parag Singla |
| 2016 | KDD | node2vec: Scalable Feature Learning for Networks. | Aditya Grover, Jure Leskovec |
| 2015 | IJCAI | ASAP-UCT: Abstraction of State-Action Pairs in UCT. | Ankit Anand, Aditya Grover, Mausam, Parag Singla |
| 2015 | KDD | A Deep Hybrid Model for Weather Forecasting. | Aditya Grover, Ashish Kapoor, Eric Horvitz |