Irina Rish

Thomas R. Shultz

CoRR, 2023

Lag-Llama: Towards Foundation Models for Time Series Forecasting.

[BibT_eX]

[DOI]

Kashif Rasul

Arjun Ashok

Andrew Robert Williams

Nadhir Vincent Hassen

CoRR, 2023

LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression.

[BibT_eX]

[DOI]

Ayush Kaushal

Tejas Vaidhya

CoRR, 2023

Continual Pre-Training of Large Language Models: How to (re)warm your model?

[BibT_eX]

[DOI]

CoRR, 2023

GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models.

[BibT_eX]

[DOI]

German Abrevaya

Mahta Ramezanian-Panahi

Pascal Tikeng Notsawo Jr.

CoRR, 2023

Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok.

[BibT_eX]

[DOI]

CoRR, 2023

Towards ethical multimodal systems.

[BibT_eX]

[DOI]

Alexis Roger

Esma Aïmeur

CoRR, 2023

A Survey on Compositional Generalization in Applications.

[BibT_eX]

[DOI]

Baihan Lin

CoRR, 2023

Maximum State Entropy Exploration using Predecessor and Successor Representations.

[BibT_eX]

[DOI]

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

Broken Neural Scaling Laws.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dialogue System with Missing Observation.

[BibT_eX]

[DOI]

Mayank Agarwal

Ardavan Salehi Nobandegani

Proceedings of the IEEE International Conference on Acoustics, 2023

Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2023

AI Agents Learn to Trust.

[BibT_eX]

[DOI]

Thomas R. Shultz

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Towards Continual Reinforcement Learning: A Review and Perspectives.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

Generative Models of Brain Dynamics.

[BibT_eX]

[DOI]

Mahta Ramezanian-Panahi

German Abrevaya

Vikram Voleti

Guillaume Dumas

Frontiers Artif. Intell., 2022

Knowledge Distillation for Federated Learning: a Practical Guide.

[BibT_eX]

[DOI]

CoRR, 2022

Aligning MAGMA by Few-Shot Learning and Finetuning.

[BibT_eX]

[DOI]

Jean-Charles Layoun

Alexis Roger

CoRR, 2022

Towards Out-of-Distribution Adversarial Robustness.

[BibT_eX]

[DOI]

Adam Ibrahim

Charles Guille-Escuret

CoRR, 2022

Scaling the Number of Tasks in Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Foundational Models for Continual Learning: An Empirical Study of Latent Replay.

[BibT_eX]

[DOI]

CoRR, 2022

APP: Anytime Progressive Pruning.

[BibT_eX]

[DOI]

CoRR, 2022

WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Tasks.

[BibT_eX]

[DOI]

Mohammad-Javad Darvishi Bayazi

Kartik Ahuja

Guillaume Dumas

CoRR, 2022

Gradient Masked Averaging for Federated Learning.

[BibT_eX]

[DOI]

Irene Tenison

Sai Aravind Sreeramadas

CoRR, 2022

Continual Learning In Environments With Polynomial Mixing Times.

[BibT_eX]

[DOI]

Matthew Riemer

Sharath Chandra Raparthy

Ignacio Cases

Gopeshh Subbaraj

Maximilian Puelma Touzel

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

Towards Scaling Difference Target Propagation by Learning Backprop Targets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Compositional Attention: Disentangling Search and Retrieval.

[BibT_eX]

[DOI]

Sarthak Mittal

Sharath Chandra Raparthy

Yoshua Bengio

Guillaume Lajoie

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Remedy For Distributional Shifts Through Expected Domain Translation.

[BibT_eX]

[DOI]

Soroosh Shahtalebi

Frank Rudzicz

Ardavan Salehi Nobandegani

Proceedings of the IEEE International Conference on Acoustics, 2022

Parametric Scattering Networks.

[BibT_eX]

[DOI]

Shanel Gauthier

Benjamin Thérien

Laurent Alsène-Racicot

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Learning with Foundation Models: An Empirical Study of Latent Replay.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Cognitive Models as Simulators: The Case of Moral Decision-Making.

[BibT_eX]

[DOI]

Thomas R. Shultz

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks.

[BibT_eX]

[DOI]

Neural Comput., 2021

Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers.

[BibT_eX]

[DOI]

CoRR, 2021

Approximate Bayesian Optimisation for Neural Networks.

[BibT_eX]

[DOI]

Nadhir Hassen

CoRR, 2021

Sequoia: A Software Framework to Unify Continual Learning Research.

[BibT_eX]

[DOI]

CoRR, 2021

Parametric Scattering Networks.

[BibT_eX]

[DOI]

Shanel Gauthier

Benjamin Thérien

Laurent Alsène-Racicot

CoRR, 2021

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

CoRR, 2021

SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization.

[BibT_eX]

[DOI]

Soroosh Shahtalebi

CoRR, 2021

Continual Learning in Deep Networks: an Analysis of the Last Layer.

[BibT_eX]

[DOI]

Timothée Lesort

Thomas George

CoRR, 2021

Gradient Masked Federated Optimization.

[BibT_eX]

[DOI]

Irene Tenison

Sreya Francis

CoRR, 2021

Towards Causal Federated Learning For Enhanced Robustness and Privacy.

[BibT_eX]

[DOI]

Sreya Francis

Irene Tenison

CoRR, 2021

Understanding Continual Learning Settings with Data Distribution Drift Analysis.

[BibT_eX]

[DOI]

Timothée Lesort

Massimo Caccia

CoRR, 2021

Adversarial Feature Desensitization.

[BibT_eX]

[DOI]

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

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Kartik Ahuja

Ethan Caballero

Dinghuai Zhang

Yoshua Bengio

Ioannis Mitliagkas

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

Toward Optimal Solution for the Context-Attentive Bandit Problem.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Predicting Infectiousness for Proactive Contact Tracing.

[BibT_eX]

[DOI]

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

Double-Linear Thompson Sampling for Context-Attentive Bandits.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Toward Skills Dialog Orchestration with Online Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Feature Desensitization.

[BibT_eX]

[DOI]

Pouya Bashivan

Blake A. Richards

Makesh Narsimhan Sreedhar

CoRR, 2020

COVI White Paper.

[BibT_eX]

[DOI]

CoRR, 2020

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation.

[BibT_eX]

[DOI]

Victor Schmidt

Mostafa ElAraby

CoRR, 2020

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning.

[BibT_eX]

[DOI]

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

Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.

[BibT_eX]

[DOI]

Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

Survey on Applications of Multi-Armed and Contextual Bandits.

[BibT_eX]

[DOI]

Charu C. Aggarwal

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.

[BibT_eX]

[DOI]

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

Modeling Dialogues with Hashcode Representations: A Nonparametric Approach.

[BibT_eX]

[DOI]

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

2019

Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders.

[BibT_eX]

[DOI]

CoRR, 2019

A Survey on Practical Applications of Multi-Armed and Contextual Bandits.

[BibT_eX]

[DOI]

CoRR, 2019

Continual Learning with Self-Organizing Maps.

[BibT_eX]

[DOI]

CoRR, 2019

Predicting conversion to psychosis in clinical high risk patients using resting-state functional MRI features.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Beyond Backprop: Online Alternating Minimization with Auxiliary Variables.

[BibT_eX]

[DOI]

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

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

[BibT_eX]

[DOI]

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

Kernelized Hashcode Representations for Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Beyond Backprop: Alternating Minimization with co-Activation Memory.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM.

[BibT_eX]

[DOI]

CoRR, 2018

Adaptive Representation Selection in Contextual Bandit with Unlabeled History.

[BibT_eX]

[DOI]

CoRR, 2018

Dialogue Modeling Via Hash Functions.

[BibT_eX]

[DOI]

Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

Contextual Bandit with Adaptive Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Holographic brain: Distributed versus local activation patterns in fMRI.

[BibT_eX]

[DOI]

Guillermo A. Cecchi

IBM J. Res. Dev., 2017

Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2017

Computing the structure of language for neuropsychiatric evaluation.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2017

Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Efficient Representation for Natural Language Processing via Kernelized Hashcodes.

[BibT_eX]

[DOI]

CoRR, 2017

Learning discriminative functional network features of schizophrenia.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Context Attentive Bandits: Contextual Bandit with Restricted Context.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Bandit Models of Human Behavior: Reward Processing in Mental Disorders.

[BibT_eX]

[DOI]

Guillermo A. Cecchi

Proceedings of the Artificial General Intelligence - 10th International Conference, 2017

2016

MINT: Mutual Information Based Transductive Feature Selection for Genetic Trait Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

Mental State Recognition via Wearable EEG.

[BibT_eX]

[DOI]

Pouya Bashivan

Steve Heisig

CoRR, 2016

Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2014

Transductive HSIC Lasso.

[BibT_eX]

[DOI]

Dan He

Laxmi Parida

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

MINT: Mutual Information based Transductive Feature Selection for Genetic Trait Prediction.

[BibT_eX]

[DOI]

CoRR, 2013

Functional MRI Analysis with Sparse Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

Predictive Dynamics of Human Pain Perception.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2012

Variable Selection for Gaussian Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Sparse regression analysis of task-relevant information distribution in the brain.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2010

Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach.

[BibT_eX]

[DOI]

Katya Scheinberg

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Sparse Markov net learning with priors on regularization parameters.

[BibT_eX]

[DOI]

Katya Scheinberg

Marie-Laure Paillère-Martinot

Narges Bani Asadi

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2010

Sparse Regression Models of Pain Perception.

[BibT_eX]

[DOI]

Proceedings of the Brain Informatics, International Conference, 2010

2009

Prediction and interpretation of distributed neural activity with sparse models.

[BibT_eX]

[DOI]

NeuroImage, 2009

Discriminative Network Models of Schizophrenia.

[BibT_eX]

[DOI]

Catherine Martelli

Jean-Luc Martinot

Jean-Baptiste Poline

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Map approach to learning sparse Gaussian Markov networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Sparse signal recovery with exponential-family noise.

[BibT_eX]

[DOI]

Genady Grabarnik

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Active Collaborative Prediction with Maximum Margin Matrix Factorization.

[BibT_eX]

[DOI]

Gerald Tesauro

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Closed-form supervised dimensionality reduction with generalized linear models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

2007

Empirical Study of Topology Effects on Diagnosis in Computer Networks.

[BibT_eX]

[DOI]

Natalia Odintsova

Proceedings of the IEEE 4th International Conference on Mobile Adhoc and Sensor Systems, 2007

Blind source separation approach to performance diagnosis and dependency discovery.

[BibT_eX]

[DOI]

Gaurav Chandalia

Proceedings of the 7th ACM SIGCOMM Internet Measurement Conference, 2007

Estimating End-to-End Performance by Collaborative Prediction with Active Sampling.

[BibT_eX]

[DOI]

Gerald Tesauro

Proceedings of the Integrated Network Management, 2007

Evaluation of Optimization Methods for Network Bottleneck Diagnosis.

[BibT_eX]

[DOI]

Jeffrey O. Kephart

Proceedings of the Fourth International Conference on Autonomic Computing (ICAC'07), 2007

2006

Bayesian Learning of Markov Network Structure.

[BibT_eX]

[DOI]

Aleks Jakulin

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Adaptive diagnosis in distributed systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2005

Efficient Test Selection in Active Diagnosis via Entropy Approximation.

[BibT_eX]

[DOI]

Alice X. Zheng

Proceedings of the UAI '05, 2005

Statictical Models for Unequally Spaced Time Series.

[BibT_eX]

[DOI]

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Test-based diagnosis: tree and matrix representations.

[BibT_eX]

[DOI]

Proceedings of the Integrated Network Management, 2005

2004

Real-time problem determination in distributed systems using active probing.

[BibT_eX]

[DOI]

Proceedings of the Managing Next Generation Convergence Networks and Services, 2004

Improving Network Robustness.

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Autonomic Computing (ICAC 2004), 2004

2003

Mini-buckets: A general scheme for bounded inference.

[BibT_eX]

[DOI]

J. ACM, 2003

Approximability of Probability Distributions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Critical event prediction for proactive management in large-scale computer clusters.

[BibT_eX]

[DOI]

Anand Sivasubramaniam

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Active Probing Strategies for Problem Diagnosis in Distributed Systems.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes.

[BibT_eX]

[DOI]

Ricardo Vilalta

Proceedings of the Machine Learning: ECML 2003, 2003

2002

Intelligent probing: A cost-effective approach to fault diagnosis in computer networks.

[BibT_eX]

[DOI]

Mark Brodie

Sheng Ma

IBM Syst. J., 2002

Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks.

[BibT_eX]

Proceedings of the Eights International Conference on Principles and Knowledge Representation and Reasoning (KR-02), 2002

Accuracy vs. Efficiency Trade-offs in Probabilistic Diagnosis.

[BibT_eX]

[DOI]

Mark Brodie

Sheng Ma

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

A Unified Framework for Evaluation Metrics in Classification Using Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: EMCL 2001, 2001

Optimizing Probe Selection for Fault Localization.

[BibT_eX]

[DOI]

Mark Brodie

Sheng Ma

Proceedings of the Operations & Management, 2001

2000

Resolution versus Search: Two Strategies for SAT.

[BibT_eX]

[DOI]

J. Autom. Reason., 2000

Recognizing End-User Transactions in Performance Management.

[BibT_eX]

[DOI]

Joseph L. Hellerstein

T. S. Jayram

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1998

Empirical Evaluation of Approximation Algorithms for Probabilistic Decoding.

[BibT_eX]

[DOI]

Kalev Kask

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1997

A Scheme for Approximating Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Statistical Analysis of Backtracking on Inconsistent CSPs.

[BibT_eX]

[DOI]

Daniel Frost

Proceedings of the Principles and Practice of Constraint Programming - CP97, Third International Conference, Linz, Austria, October 29, 1997

Summarizing CSP Hardness with Continuous Probability Distributions.

[BibT_eX]

[DOI]

Daniel Frost

Lluís Vila

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

To Guess or to Think? Hybrid Algorithms for SAT (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Principles and Practice of Constraint Programming, 1996

1994

Directional Resolution: The Davis-Putnam Procedure, Revisited.

[BibT_eX]