Aditya Grover

24

Papers

263

Total Citations

Papers (24)

VideoPhy: Evaluating Physical Commonsense for Video Generation

Group Preference Optimization: Few-Shot Alignment of Large Language Models

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

VideoCon: Robust Video-Language Alignment via Contrast Captions

OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models

Variational Bayes on Monte Carlo Steroids

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection

ExPT: Synthetic Pretraining for Few-Shot Experimental Design

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models

Modeling Sparse Deviations for Compressed Sensing using Generative Models

Learning Policy Representations in Multiagent Systems

Neural Joint Source-Channel Coding

Graphite: Iterative Generative Modeling of Graphs

Streamlining Variational Inference for Constraint Satisfaction Problems

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery

Decision Transformer: Reinforcement Learning via Sequence Modeling

Moser Flow: Divergence-based Generative Modeling on Manifolds

PiRank: Scalable Learning To Rank via Differentiable Sorting

CyCLIP: Cyclic Contrastive Language-Image Pretraining

Masked Autoencoding for Scalable and Generalizable Decision Making