Aditya Grover

papers

3,151

total citations

papers (21)

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

NEURIPS 2025arXiv

citations

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery

NEURIPS 2021arXiv

citations

Moser Flow: Divergence-based Generative Modeling on Manifolds

NEURIPS 2021arXiv

citations

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

ICCV 2023arXiv

citations

Masked Autoencoding for Scalable and Generalizable Decision Making

NEURIPS 2022arXiv

citations

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

NEURIPS 2023arXiv

citations

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

ICLR 2024arXiv

citations

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

NEURIPS 2025arXiv

citations

PiRank: Scalable Learning To Rank via Differentiable Sorting

NEURIPS 2021arXiv

citations

VideoCon: Robust Video-Language Alignment via Contrast Captions

CVPR 2024arXiv

citations

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

CVPR 2025arXiv

citations

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

ICLR 2024arXiv

citations

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning

COLM 2025

citations

ExPT: Synthetic Pretraining for Few-Shot Experimental Design

NEURIPS 2023arXiv

citations

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

ICCV 2025arXiv

citations

Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models

NEURIPS 2023arXiv

citations

PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction

COLM 2025arXiv

citations

Aditya Grover

papers (21)

Decision Transformer: Reinforcement Learning via Sequence Modeling

CyCLIP: Cyclic Contrastive Language-Image Pretraining

VideoPhy: Evaluating Physical Commonsense for Video Generation

Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery

Moser Flow: Divergence-based Generative Modeling on Manifolds

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

Masked Autoencoding for Scalable and Generalizable Decision Making

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

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

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

PiRank: Scalable Learning To Rank via Differentiable Sorting

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

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning

ExPT: Synthetic Pretraining for Few-Shot Experimental Design

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

Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models

PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction

papers (21)

Decision Transformer: Reinforcement Learning via Sequence Modeling

CyCLIP: Cyclic Contrastive Language-Image Pretraining

VideoPhy: Evaluating Physical Commonsense for Video Generation

Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery

Moser Flow: Divergence-based Generative Modeling on Manifolds

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

Masked Autoencoding for Scalable and Generalizable Decision Making

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

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

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

PiRank: Scalable Learning To Rank via Differentiable Sorting

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

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning

ExPT: Synthetic Pretraining for Few-Shot Experimental Design

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

Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models

PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction