Furong Huang

Oscar Hernan Madrid Padilla

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

World Models with Hints of Large Language Models for Goal Achieving.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment.

[BibT_eX]

[DOI]

Yuancheng Xu

Udari Madhushani Sehwag

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Collab: Controlled Decoding using Mixture of Agents for LLM Alignment.

[BibT_eX]

[DOI]

Souradip Chakraborty

Sujay Bhatt

Udari Madhushani Sehwag

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Is Poisoning a Real Threat to DPO? Maybe More So Than You Think.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

[BibT_eX]

[DOI]

Zora Che

Yuancheng Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Industrial technology network security measurement in international trade under discrete hopfield neural network.

[BibT_eX]

[DOI]

Santiago Ferrière-Steinert

J. Comput. Methods Sci. Eng., 2024

A survey of recent methods for addressing AI fairness and bias in biomedicine.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2024

HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing.

[BibT_eX]

[DOI]

CoRR, 2024

Political-LLM: Large Language Models in Political Science.

[BibT_eX]

[DOI]

CoRR, 2024

LIAR: Leveraging Alignment (Best-of-N) to Jailbreak LLMs in Seconds.

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension.

[BibT_eX]

[DOI]

CoRR, 2024

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine.

[BibT_eX]

[DOI]

Francisco Erramuspe Álvarez

CoRR, 2024

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory.

[BibT_eX]

[DOI]

Oscar Hernan Madrid Padilla

CoRR, 2024

AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment.

[BibT_eX]

[DOI]

Udari Madhushani Sehwag

CoRR, 2024

Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning.

[BibT_eX]

[DOI]

CoRR, 2024

EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM?

[BibT_eX]

[DOI]

CoRR, 2024

Auction-Based Regulation for Artificial Intelligence.

[BibT_eX]

[DOI]

CoRR, 2024

Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models.

[BibT_eX]

[DOI]

Ruiyi Zhang

Yuancheng Xu

CoRR, 2024

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.

[BibT_eX]

[DOI]

CoRR, 2024

SAIL: Self-Improving Efficient Online Alignment of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Adversarial Attacks on Large Language Models in Medicine.

[BibT_eX]

[DOI]

CoRR, 2024

Is poisoning a real threat to LLM alignment? Maybe more so than you think.

[BibT_eX]

[DOI]

CoRR, 2024

Calibrated Dataset Condensation for Faster Hyperparameter Search.

[BibT_eX]

[DOI]

CoRR, 2024

Spectral Greedy Coresets for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.

[BibT_eX]

[DOI]

CoRR, 2024

PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem.

[BibT_eX]

[DOI]

CoRR, 2024

MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences.

[BibT_eX]

[DOI]

CoRR, 2024

Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking the Robustness of Image Watermarks.

[BibT_eX]

[DOI]

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Transfer Q-star : Principled Decoding for LLM Alignment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise.

[BibT_eX]

[DOI]

Kyle Sang

Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM).

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MaxMin-RLHF: Alignment with Diverse Human Preferences.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: On the Possibilities of AI-Generated Text Detection.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

WAVES: Benchmarking the Robustness of Image Watermarks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decodable and Sample Invariant Continuous Object Encoder.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.

[BibT_eX]

[DOI]

Wichayaporn Wongkamjan

Huazhe Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.

[BibT_eX]

[DOI]

Stephen Marcus McAleer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts.

[BibT_eX]

[DOI]

Chaithanya Kumar Mummadi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models.

[BibT_eX]

[DOI]

Jordan L. Boyd-Graber

Tianyi Zhou

Dinesh Manocha

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Temporal expectations mediated the repetition effect in a sequence in two ways.

[BibT_eX]

[DOI]

Haiqiong Yan

Shuang Tang

Cogn. Process., November, 2023

A Survey on the Possibilities & Impossibilities of AI-generated Text Detection.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation.

[BibT_eX]

[DOI]

CoRR, 2023

Progressively Efficient Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations.

[BibT_eX]

[DOI]

CoRR, 2023

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.

[BibT_eX]

[DOI]

CoRR, 2023

Aligning Agent Policy with Externalities: Reward Design via Bilevel RL.

[BibT_eX]

[DOI]

CoRR, 2023

More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes.

[BibT_eX]

[DOI]

Chaithanya Kumar Mummadi

CoRR, 2023

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.

[BibT_eX]

[DOI]

CoRR, 2023

Reviving Shift Equivariance in Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing.

[BibT_eX]

[DOI]

Marco Bornstein

CoRR, 2023

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL.

[BibT_eX]

[DOI]

CoRR, 2023

On the Possibilities of AI-Generated Text Detection.

[BibT_eX]

[DOI]

CoRR, 2023

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.

[BibT_eX]

[DOI]

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

Large-Scale Distributed Learning via Private On-Device LSH.

[BibT_eX]

[DOI]

Marco Bornstein

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

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder.

[BibT_eX]

[DOI]

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

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise.

[BibT_eX]

[DOI]

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

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy.

[BibT_eX]

[DOI]

Xiyao Wang

Wichayaporn Wongkamjan

Ruonan Jia

Proceedings of the International Conference on Machine Learning, 2023

STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SMART: Self-supervised Multi-task pretrAining with contRol Transformers.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

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

2022

Increased or decreased? Interpersonal neural synchronization in group creation.

[BibT_eX]

[DOI]

NeuroImage, 2022

Compact Neural Architecture Designs by Tensor Representations.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

Tensor Computations: Applications and Optimization (Dagstuhl Seminar 22101).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2022

Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2022

An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication.

[BibT_eX]

[DOI]

CoRR, 2022

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy.

[BibT_eX]

[DOI]

Xiyao Wang

Wichayaporn Wongkamjan

CoRR, 2022

FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus.

[BibT_eX]

[DOI]

CoRR, 2022

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems.

[BibT_eX]

[DOI]

CoRR, 2022

End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking.

[BibT_eX]

[DOI]

CoRR, 2022

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach.

[BibT_eX]

[DOI]

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

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning.

[BibT_eX]

[DOI]

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

Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability.

[BibT_eX]

[DOI]

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

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.

[BibT_eX]

[DOI]

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

End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking.

[BibT_eX]

[DOI]

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

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization.

[BibT_eX]

[DOI]

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

Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework.

[BibT_eX]

[DOI]

Wonmin Byeon

Proceedings of the International Conference on Machine Learning, 2022

Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Transfer RL across Observation Feature Spaces via Model-Based Regularization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency.

[BibT_eX]

[DOI]

Xiaoyu Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching.

[BibT_eX]

[DOI]

CoRR, 2021

Datasets for Studying Generalization from Easy to Hard Examples.

[BibT_eX]

[DOI]

CoRR, 2021

Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders.

[BibT_eX]

[DOI]

Huimin Zeng

CoRR, 2021

Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework.

[BibT_eX]

[DOI]

Wonmin Byeon

CoRR, 2021

Guided Hyperparameter Tuning Through Visualization and Inference.

[BibT_eX]

[DOI]

CoRR, 2021

DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations.

[BibT_eX]

[DOI]

CoRR, 2021

MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Understanding the Generalization Benefit of Model Invariance from a Data Perspective.

[BibT_eX]

[DOI]

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

Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks.

[BibT_eX]

[DOI]

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

VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization.

[BibT_eX]

[DOI]

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

Practical and Fast Momentum-Based Power Methods.

[BibT_eX]

[DOI]

Proceedings of the Mathematical and Scientific Machine Learning, 2021

Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics.

[BibT_eX]

[DOI]

Da Huo

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

Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL.

[BibT_eX]

[DOI]

Xiangyu Yin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Novel reconciliation protocol based on spinal code for continuous-variable quantum key distribution.

[BibT_eX]

[DOI]

Quantum Inf. Process., 2020

The function of the hippocampus and middle temporal gyrus in forming new associations and concepts during the processing of novelty and usefulness features in creative designs.

[BibT_eX]

[DOI]

NeuroImage, 2020

Tensor Computations: Applications and Optimization (Dagstuhl Seminar 20111).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2020

Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics.

[BibT_eX]

[DOI]

CoRR, 2020

Adaptive Learning Rates with Maximum Variation Averaging.

[BibT_eX]

[DOI]

CoRR, 2020

Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets.

[BibT_eX]

[DOI]

Roozbeh Yousefzadeh

CoRR, 2020

Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers.

[BibT_eX]

[DOI]

CoRR, 2020

Convolutional Tensor-Train LSTM for Spatio-temporal Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ARMA Nets: Expanding Receptive Field for Dense Prediction.

[BibT_eX]

[DOI]

Shiqi Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks.

[BibT_eX]

[DOI]

Alexander Reustle

Proceedings of the Intelligent Systems and Applications, 2020

An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm.

[BibT_eX]

[DOI]

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

Sampling-Free Learning of Bayesian Quantized Neural Networks.

[BibT_eX]

[DOI]

Milan Cvitkovic

Proceedings of the 8th International Conference on Learning Representations, 2020

Understanding Generalization Through Visualizations.

[BibT_eX]

[DOI]

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

Can Agents Learn by Analogy?: An Inferable Model for PAC Reinforcement Learning.

[BibT_eX]

[DOI]

Dimitris S. Papailiopoulos

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Understanding Generalization in Deep Learning via Tensor Methods.

[BibT_eX]

[DOI]

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

2019

People got lost in solving a set of similar problems.

[BibT_eX]

[DOI]

NeuroImage, 2019

Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training?

[BibT_eX]

[DOI]

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

[BibT_eX]

[DOI]

Alexandros G. Dimakis

Anastasios Kyrillidis

Shivaram Venkataraman

CoRR, 2019

Guaranteed Scalable Learning of Latent Tree Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Neural correlates of novelty and appropriateness processing in externally induced constraint relaxation.

[BibT_eX]

[DOI]

NeuroImage, 2018

Tensorized Spectrum Preserving Compression for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares.

[BibT_eX]

[DOI]

Jialin Li

CoRR, 2018

Learning Deep ResNet Blocks Sequentially using Boosting Theory.

[BibT_eX]

[DOI]

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

2016

Discovery of Latent Factors in High-dimensional Data Using Tensor Methods.

[BibT_eX]

[DOI]

PhD thesis, 2016

Discovery of Latent Factors in High-dimensional Data Using Tensor Methods.

[BibT_eX]

[DOI]

CoRR, 2016

Unsupervised learning of transcriptional regulatory networks via latent tree graphical models.

[BibT_eX]

[DOI]

Anthony Gitter

Ragupathyraj Valluvan

Ernest Fraenkel

CoRR, 2016

Non-negative Factorization of the Occurrence Tensor from Financial Contracts.

[BibT_eX]

[DOI]

CoRR, 2016

2015

The neural basis of novelty and appropriateness in processing of creative chunk decomposition.

[BibT_eX]

[DOI]

Jin Fan

Jing Luo

NeuroImage, 2015

Online tensor methods for learning latent variable models.

[BibT_eX]

[DOI]

U. N. Niranjan

Mohammad Umar Hakeem

J. Mach. Learn. Res., 2015

Convolutional Dictionary Learning through Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models].

[BibT_eX]

[DOI]

Forough Arabshahi

Carter T. Butts

Sean M. Fitzhugh

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Integrated Structure and Parameters Learning in Latent Tree Graphical Models.

[BibT_eX]

[DOI]

U. N. Niranjan

CoRR, 2014

Modeling Dynamic Social Interactions via Conditional Latent Tree Models.

[BibT_eX]

[DOI]

Forough Arabshahi

Carter T. Butts

CoRR, 2014

2013

Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs.

[BibT_eX]

[DOI]

CoRR, 2013

FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations.

[BibT_eX]

[DOI]

Anima Anandkumar

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2012

High-dimensional Gaussian graphical model selection: walk summability and local separation criterion.

[BibT_eX]

[DOI]

Vincent Y. F. Tan

Alan S. Willsky

J. Mach. Learn. Res., 2012

Learning Mixtures of Tree Graphical Models.

[BibT_eX]

[DOI]

Daniel J. Hsu

Sham M. Kakade

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families

[BibT_eX]

[DOI]

Vincent Y. F. Tan