Ali Payani

Antonio Valerio Miceli Barone

CoRR, May, 2025

SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction.

[BibT_eX]

[DOI]

CoRR, May, 2025

Program Semantic Inequivalence Game with Large Language Models.

[BibT_eX]

[DOI]

Vaishak Belle

CoRR, May, 2025

Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA.

[BibT_eX]

[DOI]

CoRR, March, 2025

Benchmarking LLMs for Political Science: A United Nations Perspective.

[BibT_eX]

[DOI]

CoRR, February, 2025

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs.

[BibT_eX]

[DOI]

Srinivasan Parthasarathy

Trans. Mach. Learn. Res., 2025

Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning.

[BibT_eX]

[DOI]

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

A Generic Framework for Conformal Fairness.

[BibT_eX]

[DOI]

Srinivasan Parthasarathy

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Can Knowledge Editing Really Correct Hallucinations?

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity.

[BibT_eX]

[DOI]

Dang Nguyen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages.

[BibT_eX]

[DOI]

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

2024

IFODHD: Improved Feature Selection Based Outlier Detection using Hyperdimensional Computing.

[BibT_eX]

[DOI]

J. Signal Process. Syst., December, 2024

SketchQL: Video Moment Querying with a Visual Query Interface.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, September, 2024

SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.

[BibT_eX]

[DOI]

Renzhi Wu

Pramod Chunduri

Dristi J. Shah

Ashmitha Julius Aravind

Proc. VLDB Endow., August, 2024

Mitigating Group Bias in Federated Learning: Beyond Local Fairness.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

ProFL: Performative Robust Optimal Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights.

[BibT_eX]

[DOI]

Srinivasan Parthasarathy

CoRR, 2024

Enhancing Group Fairness in Federated Learning through Personalization.

[BibT_eX]

[DOI]

Yifan Yang

Parinaz Naghizadeh

CoRR, 2024

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Generalization Error Bounds for Learning under Censored Feedback.

[BibT_eX]

[DOI]

Yifan Yang

Parinaz Naghizadeh

CoRR, 2024

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study.

[BibT_eX]

[DOI]

CoRR, 2024

Prompt Mining for Language-based Human Mobility Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems.

[BibT_eX]

[DOI]

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

LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Ninth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2024

Temporal Inductive Logic Reasoning over Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization.

[BibT_eX]

[DOI]

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

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings.

[BibT_eX]

[DOI]

Yihao Xue

Yu Yang

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

Prompt Mining for Language Models-based Mobility Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Can LLMs Reason in the Wild with Programs?

[BibT_eX]

[DOI]

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

Neural Additive Tensor Decomposition for Sparse Tensors.

[BibT_eX]

[DOI]

Dawon Ahn

Uday Singh Saini

Evangelos E. Papalexakis

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Effective Guidance for Model Attention with Simple Yes-no Annotations.

[BibT_eX]

[DOI]

Seongmin Lee

Duen Horng (Polo) Chau

Proceedings of the IEEE International Conference on Big Data, 2024

Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity.

[BibT_eX]

[DOI]

Siddharth Joshi

Arnav Jain

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation.

[BibT_eX]

[DOI]

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

Large Language Models Can Learn Temporal Reasoning.

[BibT_eX]

[DOI]

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

When is Tree Search Useful for LLM Planning? It Depends on the Discriminator.

[BibT_eX]

[DOI]

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

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning.

[BibT_eX]

[DOI]

Joshua Andle

Salimeh Yasaei Sekeh

CoRR, 2023

Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Eliminating Spurious Correlations from Pre-trained Models via Data Mixing.

[BibT_eX]

[DOI]

Yihao Xue

Yu Yang

Muralikrishnna G. Sethuraman

CoRR, 2023

LogicDP: Creating Labels for Graph Data via Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

EVA: An End-to-End Exploratory Video Analytics System.

[BibT_eX]

[DOI]

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

Classifying Functional Brain Graphs Using Graph Hypervector Representation.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Text-to-SQL Error Correction with Language Models of Code.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2021

Predicting Mobile Users Traffic and Access-Time Behavior Using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Visual Question Answering based on Formal Logic.

[BibT_eX]

[DOI]

J. Clayton Kerce

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Differentiable neural logic networks and their application onto inductive logic programming.

[BibT_eX]

[DOI]

PhD thesis, 2020

Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Inductive Logic Programming via Differentiable Deep Neural Logic Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Algorithms via Neural Logic Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Learning of Independent Components from a Noisy and Non-Linear Mixture via Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

2018

Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2018

Decoding LDPC Codes on Binary Erasure Channels using Deep Recurrent Neural-Logic Layers.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Turbo Codes & Iterative Information Processing, 2018

2017

Learning dictionary for efficient signal compression.

[BibT_eX]

[DOI]

Afshin Abdi

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes.

[BibT_eX]

[DOI]

Entao Liu

Proceedings of the 2017 Data Compression Conference, 2017

2016

Near optimal representative subset selection from short sequences generated by a stationary source.

[BibT_eX]

[DOI]

Afshin Abdi