Aditya Grover

CoRR, 2024

ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

2023

InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following.

[BibT_eX]

[DOI]

Shufan Li

Harkanwar Singh

CoRR, 2023

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting.

[BibT_eX]

[DOI]

Veerabhadra Kotamarthi

Ian T. Foster

CoRR, 2023

Guided Flows for Generative Modeling and Decision Making.

[BibT_eX]

[DOI]

CoRR, 2023

VideoCon: Robust Video-Language Alignment via Contrast Captions.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Siyan Zhao

John Dang

CoRR, 2023

High Dimensional Causal Inference with Variational Backdoor Adjustment.

[BibT_eX]

[DOI]

Daniel Israel

Guy Van den Broeck

CoRR, 2023

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

[BibT_eX]

[DOI]

Hritik Bansal

John Dang

CoRR, 2023

Leaving Reality to Imagination: Robust Classification via Generated Datasets.

[BibT_eX]

[DOI]

Hritik Bansal

CoRR, 2023

Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models.

[BibT_eX]

[DOI]

Siyan Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ExPT: Synthetic Pretraining for Few-Shot Experimental Design.

[BibT_eX]

[DOI]

Sudhanshu Agrawal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

ClimaX: A foundation model for weather and climate.

[BibT_eX]

[DOI]

Johannes Brandstetter

Ashish Kapoor

Jayesh K. Gupta

Proceedings of the International Conference on Machine Learning, 2023

Generative Pretraining for Black-Box Optimization.

[BibT_eX]

[DOI]

Satvik Mehul Mashkaria

Siddarth Krishnamoorthy

Proceedings of the International Conference on Machine Learning, 2023

Diffusion Models for Black-Box Optimization.

[BibT_eX]

[DOI]

Siddarth Krishnamoorthy

Satvik Mehul Mashkaria

Proceedings of the International Conference on Machine Learning, 2023

Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL.

[BibT_eX]

[DOI]

Baiting Zhu

Meihua Dang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generative Decision Making Under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Controllable Generative Modeling via Causal Reasoning.

[BibT_eX]

[DOI]

Joey Bose

Ricardo Pio Monti

Trans. Mach. Learn. Res., 2022

ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Qinqing Zheng

CoRR, 2022

Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning.

[BibT_eX]

[DOI]

Carl Qi

Pieter Abbeel

CoRR, 2022

It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation.

[BibT_eX]

[DOI]

Yuqing Du

Pieter Abbeel

CoRR, 2022

BARACK: Partially Supervised Group Robustness With Guarantees.

[BibT_eX]

[DOI]

CoRR, 2022

Masked Autoencoding for Scalable and Generalizable Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CyCLIP: Cyclic Contrastive Language-Image Pretraining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Decision Transformer.

[BibT_eX]

[DOI]

Qinqing Zheng

Amy Zhang

Proceedings of the International Conference on Machine Learning, 2022

Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Matching Normalizing Flows and Probability Paths on Manifolds.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Frame Averaging for Invariant and Equivariant Network Design.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation.

[BibT_eX]

[DOI]

Yuqing Du

Pieter Abbeel

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits.

[BibT_eX]

[DOI]

Wenshuo Guo

Kumar Krishna Agrawal

Vidya K. Muthukumar

Ashwin Pananjady

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Frozen Pretrained Transformers as Universal Computation Engines.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Rotation Invariant Graph Neural Networks using Spin Convolutions.

[BibT_eX]

[DOI]

CoRR, 2021

JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data.

[BibT_eX]

[DOI]

CoRR, 2021

Pretrained Transformers as Universal Computation Engines.

[BibT_eX]

[DOI]

CoRR, 2021

PiRank: Scalable Learning To Rank via Differentiable Sorting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Moser Flow: Divergence-based Generative Modeling on Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Open Catalyst Challenge 2021: Competition Report.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery.

[BibT_eX]

[DOI]

Chris Cundy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decision Transformer: Reinforcement Learning via Sequence Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Anytime Sampling for Autoregressive Models via Ordered Autoencoding.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Reset-Free Lifelong Learning with Skill-Space Planning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning to represent and reason under limited supervision.

[BibT_eX]

[DOI]

PhD thesis, 2020

Closed-loop optimization of fast-charging protocols for batteries with machine learning.

[BibT_eX]

[DOI]

Nat., 2020

PiRank: Learning To Rank via Differentiable Sorting.

[BibT_eX]

[DOI]

CoRR, 2020

Fair Generative Modeling via Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Permutation Invariant Graph Generation via Score-Based Generative Modeling.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fair Generative Modeling via Weak Supervision.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Graphite: Iterative Generative Modeling of Graphs.

[BibT_eX]

[DOI]

Aaron Zweig

Proceedings of the 36th International Conference on Machine Learning, 2019

Neural Joint Source-Channel Coding.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Stochastic Optimization of Sorting Networks via Continuous Relaxations.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

AlignFlow: Learning from multiple domains via normalizing flows.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Learning Controllable Fair Representations.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Streamlining Variational Inference for Constraint Satisfaction Problems.

[BibT_eX]

[DOI]

Tudor Achim

Pablo Sanchez-Escalonilla

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

ROGER: An On-Line Flight Efficiency Monitoring System Using ADS-B Data.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Learning Policy Representations in Multiagent Systems.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Modeling Sparse Deviations for Compressed Sensing using Generative Models.

[BibT_eX]

[DOI]

Manik Dhar

Proceedings of the 35th International Conference on Machine Learning, 2018

Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Best arm identification in multi-armed bandits with delayed feedback.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Variational Rejection Sampling.

[BibT_eX]

[DOI]

Ramki Gummadi

Miguel Lázaro-Gredilla

Dale Schuurmans

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Boosted Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models.

[BibT_eX]

[DOI]

Manik Dhar

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Flow-GAN: Bridging implicit and prescribed learning in generative models.

[BibT_eX]

[DOI]

Manik Dhar

CoRR, 2017

2016

Variational Bayes on Monte Carlo Steroids.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

node2vec: Scalable Feature Learning for Networks.

[BibT_eX]

[DOI]

Jure Leskovec

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Contextual Symmetries in Probabilistic Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

A Deep Hybrid Model for Weather Forecasting.

[BibT_eX]

[DOI]