ICLRW 2022
330 papers
A Causal Viewpoint on Motor-Imagery Brainwave Decoding
Konstantinos Barmpas, Yannis Panagakis, Dimitrios Adamos, Nikolaos Laskaris, Stefanos Zafeiriou A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers
Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang A Minimalist Ensemble Method for Generalizable Offline Deep Reinforcement Learning
Kun Wu, Yinuo Zhao, Zhiyuan Xu, Zhen Zhao, Pei Ren, Zhengping Che, Chi Harold Liu, Feifei Feng, Jian Tang A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks
Vijay Lingam, Chanakya Ajit Ekbote, Manan Sharma, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam A Regret Minimization Approach to Multi-Agent Control
Udaya Ghai, Udari Madhushani, Naomi Leonard, Elad Hazan A Systematic Evaluation of Large Language Models of Code
Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn A Unified Substrate for Body-Brain Co-Evolution
Sidney Pontes-Filho, Kathryn Walker, Elias Najarro, Stefano Nichele, Sebastian Risi Action-Sufficient State Representation Learning for Control with Structural Constraints
Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang Annealed Importance Sampling Meets Score Matching
Arnaud Doucet, Will Sussman Grathwohl, Alexander G. de G. Matthews, Heiko Strathmann Bayesian Generational Population-Based Training
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael Osborne Bayesian Structure Learning with Generative Flow Networks
Tristan Deleu, António Góis, Chris Chinenye Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio Benchmarking Generative Latent Variable Models for Speech
Jakob Drachmann Havtorn, Lasse Borgholt, Søren Hauberg, Jes Frellsen, Lars Maaløe Binding Actions to Objects in World Models
Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L.S. Wong, Thomas Kipf Building Text and Speech Datasets for Low Resourced Languages: A Case of Languages in East Africa
Claire Babirye, Joyce Nakatumba-Nabende, Andrew Katumba, Ronald Ogwang, Jeremy Tusubira Francis, Jonathan Mukiibi, Medadi Ssentanda, Lilian D Wanzare, Davis David Can GANs Recover Faults in Electrical Motor Sensors?
Sagar Verma, Nicolas Henwood, Marc Castella, Jean-Christophe Pesquet, Al Kassem Jebai Causal Policy Ranking
Daniel McNamee, Hana Chockler Causal-TGAN: Modeling Tabular Data Using Causally-Aware GAN
Bingyang Wen, Yupeng Cao, Fan Yang, Koduvayur Subbalakshmi, Rajarathnam Chandramouli CITRIS: Causal Identifiability from Temporal Intervened Sequences
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M Asano, Taco Cohen, Efstratios Gavves Coalition Formation in Ridesharing with Walking Options
Lucia Cipolina-Kun, Sebastian Stein, Vahid Yazdanpanah, Enrico Gerding Code Editing from Few Exemplars by Adaptive Multi-Extent Composition
Peizhao Li, Xuchao Zhang, Ziyu Yao, Wei Cheng, Haifeng Chen, Hongfu Liu Code Summarization: Do Transformers Really Understand Code?
Ankita Nandkishor Sontakke, Manasi Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Gautam Shroff Coherence Evaluation of Visual Concepts with Objects and Language
Tobias Leemann, Yao Rong, Stefan Kraft, Enkelejda Kasneci, Gjergji Kasneci Competitive Physics Informed Networks
Qi Zeng, Spencer H Bryngelson, Florian Tobias Schaefer Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli, Frederik Träuble, Stefan Bauer, Bernhard Schölkopf, Francesco Locatello ConceptDistil: Model-Agnostic Distillation of Concept Explanations
João Pedro Bento Sousa, Ricardo Miguel de Oliveira Moreira, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro Continual Learning with Deep Artificial Neurons
Blake Camp, Jaya Krishna Mandivarapu, Rolando Estrada DAG Learning on the Permutahedron
Valentina Zantedeschi, Jean Kaddour, Luca Franceschi, Matt Kusner, Vlad Niculae Data Poisoning Attacks on Off-Policy Policy Evaluation Algorithms
Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin, Himabindu Lakkaraju Decoding Surface Fingerprints for Protein-Ligand Interactions
Ilia Igashov, Arian Rokkum Jamasb, Ahmed Sadek, Freyr Sverrisson, Arne Schneuing, Tom Blundell, Pietro Lio, Michael M. Bronstein, Bruno Correia Decoupled Graph Neural Networks Based on Label Agreement Message Propagation
Zhicheng An, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Jun Zhou, Yue Wang, Shao-Lun Huang Deep Sharpening of Topological Features for De Novo Protein Design
Zander Harteveld, Joshua Southern, Michaël Defferrard, Andreas Loukas, Pierre Vandergheynst, Micheal Bronstein, Bruno Correia Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song Density Estimation for Conservative Q-Learning
Paul Daoudi, Ludovic Dos Santos, Merwan Barlier, Aladin Virmaux Dialogue Pidgin Text Adaptation via Contrastive Fine-Tuning
Ernie Chang, Jesujoba Oluwadara Alabi, David Ifeoluwa Adelani, Vera Demberg Diffusion-Based Methods for Estimating Curvature in Data
Dhananjay Bhaskar, Kincaid MacDonald, Dawson Thomas, Sarah Zhao, Kisung You, Jennifer Paige, Yariv Aizenbud, Bastian Rieck, Ian M Adelstein, Smita Krishnaswamy Disentanglement and Generalization Under Correlation Shifts
Christina M Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kuemmerer, Richard Zemel, Matthias Bethge Diversified Multiscale Graph Learning with Graph Self-Correction
Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization
Thomas Pierrot, Valentin Macé, Felix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto DSA-ME: Deep Surrogate Assisted MAP-Elites
Yulun Zhang, Matthew Christopher Fontaine, Amy K Hoover, Stefanos Nikolaidis Emergent Password Signalling in the Game of Werewolf
Olaf Lipinski, Adam Sobey, Federico Cerutti, Timothy J Norman Ensemble Learning as a Peer Process
Ehsan Beikihassan, Ali Parviz, Amy K Hoover, Ioannis Koutis EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk, Octavian-Eugen Ganea, Lagnajit Pattanaik, Regina Barzilay, Tommi S. Jaakkola Evaluating Generalization in GFlowNets for Molecule Design
Andrei Cristian Nica, Moksh Jain, Emmanuel Bengio, Cheng-Hao Liu, Maksym Korablyov, Michael M. Bronstein, Yoshua Bengio Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps
Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge Finding Structure and Causality in Linear Programs
Matej Zečević, Florian Peter Busch, Devendra Singh Dhami, Kristian Kersting From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer
Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen Gauge Equivariant Deep Q-Learning on Discrete Manifolds
Sourya Basu, Pulkit Katdare, Katherine Rose Driggs-Campbell, Lav R. Varshney Generalization Games for Reinforcement Learning
Manfred Diaz, Charlie Gauthier, Glen Berseth, Liam Paull Geometrically Guided Saliency Maps
Md Mahfuzur Rahman, Noah Lewis, Sergey Plis GNN-LM: Language Modeling Based on Global Contexts via GNN
Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li Graph Anisotropic Diffusion
Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein Graph Anisotropic Diffusion for Molecules
Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein Graphical Clusterability and Local Specialization in Deep Neural Networks
Stephen Casper, Shlomi Hod, Daniel Filan, Cody Wild, Andrew Critch, Stuart Russell Graphical Residual Flows
Jacobie Mouton, Rodney Stephen Kroon GRPE: Relative Positional Encoding for Graph Transformer
Wonpyo Park, Woong-Gi Chang, Donggeon Lee, Juntae Kim, Seung-Won Hwang HCMD-Zero: Learning Value Aligned Mechanisms from Data
Jan Balaguer, Raphael Koster, Ari Weinstein, Lucy Campbell-Gillingham, Christopher Summerfield, Matthew Botvinick, Andrea Tacchetti High Skip Networks: A Higher Order Generalization of Skip Connections
Mustafa Hajij, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Ghada Za Igbosum1500 - Introducing the Igbo Text Summarization Dataset
Chinedu Emmanuel Mbonu, Chiamaka Ijeoma Chukwuneke, Roseline Uzoamaka Paul, Ignatius Ezeani, Ikechukwu Onyenwe Implicit Neural Video Compression
Yunfan Zhang, Ties van Rozendaal, Johann Brehmer, Markus Nagel, Taco Cohen Inductive Biases for Relational Tasks
Giancarlo Kerg, Sarthak Mittal, David Rolnick, Yoshua Bengio, Blake Aaron Richards, Guillaume Lajoie Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Nicolaus Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P How Inkorrect: Digital Ink Spelling Correction
Andrii Maksai, Henry A. Rowley, Jesse Berent, Claudiu Musat Learning Articulated Rigid Body Dynamics Simulations from Video
Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav Sukhatme Learning Fourier-Sparse Functions on DAGs
Bastian Seifert, Chris Wendler, Markus Püschel Learning to Superoptimize Real-World Programs
Alexander G Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward Schwartz, Graham Neubig Learning to Walk over Relational Graphs of Source Code
Pardis Pashakhanloo, Aaditya Naik, Hanjun Dai, Petros Maniatis, Mayur Naik Learning Truthful, Efficient, and Welfare Maximizing Auction Rules
Andrea Tacchetti, Dj Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach Local Learning with Neuron Groups
Adeetya Patel, Michael Eickenberg, Eugene Belilovsky Machine Learning to Hunt for Phage Proteins to Catch Klebsiella
George Wright, Fayyaz ul Amir Afsar Minhas, Slawomir Michniewski, Eleanor Jameson Machine Translation for African Languages: Community Creation of Datasets and Models in Uganda
Benjamin Akera, Jonathan Mukiibi, Lydia Sanyu Naggayi, Claire Babirye, Isaac Owomugisha, Solomon Nsumba, Joyce Nakatumba-Nabende, Engineer Bainomugisha, Ernest Mwebaze, John Quinn Manifold-Aligned Neighbor Embedding
Mohammad Tariqul Islam, Jason W. Fleischer Message Passing Neural Processes
Cătălina Cangea, Ben Day, Arian Rokkum Jamasb, Pietro Lio Meta-Gradients in Non-Stationary Environments
Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh Model-Free Opponent Shaping
Chris Lu, Timon Willi, Christian Schroeder de Witt, Jakob Nicolaus Foerster Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana L Borsa, Abram L. Friesen, Feryal Behbahani, Tom Schaul, Andre Barreto, Simon Osindero Modeling Strong and Human-like Gameplay with KL-Regularized Search
Athul Paul Jacob, David J Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown Multi-Objective Evolution for Generalizable Policy Gradient Algorithms
Juan Jose Garau-Luis, Yingjie Miao, John D Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust Multi-Segment Preserving Sampling for Deep Manifold Sampler
Dan Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew Watkins, Richard Bonneau, Vladimir Gligorijevic, Stephen Ra, Kyunghyun Cho Multilingual Language Model Adaptive Fine-Tuning: A Study on African Languages
Jesujoba Oluwadara Alabi, David Ifeoluwa Adelani, Marius Mosbach, Dietrich Klakow Neural Approximation of Extended Persistent Homology on Graphs
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen Neural Instruction Combiner
Sandya Mannarswamy, Dibyendu Das Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lio, Michael M. Bronstein Node-Level Differentially Private Graph Neural Networks
Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain NS3: Neuro-Symbolic Semantic Code Search
Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Antonio Garcia, Xiang Ren Object-Centric Compositional Imagination for Visual Abstract Reasoning
Rim Assouel, Pau Rodriguez, Perouz Taslakian, David Vazquez, Yoshua Bengio Object-Centric Learning as Nested Optimization
Michael Chang, Sergey Levine, Thomas L. Griffiths On Recoverability of Graph Neural Network Representations
Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Avi Mendelson On the Inadequacy of CKA as a Measure of Similarity in Deep Learning
MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky Oracle Guided Image Synthesis with Relative Queries
Alec Helbling, Christopher John Rozell, Matthew O'Shaughnessy, Kion Fallah Partial Product Aware Machine Learning on DNA-Encoded Libraries
Polina Binder, Meghan Lawler, LaShadric Grady, Neil Carlson, Svetlana Belyanskaya, Joe Franklin, Nicolas Tilmans, Henri Palacci Patch Generation with Language Models: Feasibility and Scaling Behavior
Sophia D Kolak, Ruben Martins, Claire Le Goues, Vincent Josua Hellendoorn Physics-Informed Deep Neural Network for Rigid-Body Protein Docking
Freyr Sverrisson, Jean Feydy, Joshua Southern, Michael M. Bronstein, Bruno Correia Post-Hoc Concept Bottleneck Models
Mert Yuksekgonul, Maggie Wang, James Zou Pre-Training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang Predicting Single-Cell Perturbation Responses for Unseen Drugs
Leon Hetzel, Simon Boehm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J Theis Recognizing Actions Using Object States
Nirat Saini, Bo He, Gaurav Shrivastava, Sai Saketh Rambhatla, Abhinav Shrivastava Reducing Learning on Cell Complexes to Graphs
Fabian Jogl, Maximilian Thiessen, Thomas Gärtner ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics
Mario Lino Valencia, Stathi Fotiadis, Anil Anthony Bharath, Chris D Cantwell Rethinking Stability for Attribution-Based Explanations
Chirag Agarwal, Nari Johnson, Martin Pawelczyk, Satyapriya Krishna, Eshika Saxena, Marinka Zitnik, Himabindu Lakkaraju Revisiting Model-Based Value Expansion
Daniel Palenicek, Michael Lutter, Jan Peters RipsNet: A General Architecture for Fast and Robust Estimation of the Persistent Homology of Point Clouds
Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frederic Chazal Safe Opponent-Exploitation Subgame Refinement
Mingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang Scalable Computation of Monge Maps with General Costs
Jiaojiao Fan, Shu Liu, Shaojun Ma, Yongxin Chen, Hao-Min Zhou Separating the World and Ego Models for Self-Driving
Vlad Sobal, Alfredo Canziani, Nicolas Carion, Kyunghyun Cho, Yann LeCun Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena Sifting the Signal from the Noise
Daniel Alexander Herrmann, Jacob VanDrunen Sign and Basis Invariant Networks for Spectral Graph Representation Learning
Derek Lim, Joshua David Robinson, Lingxiao Zhao, Tess Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka Sim-to-Lab-to-Real: Safe RL with Shielding and Generalization Guarantees
Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime Fernández Fisac Simplicial Attention Networks
Christopher Wei Jin Goh, Cristian Bodnar, Pietro Lio Situated Communication: A Solution to Over-Communication Between Artificial Agents
Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub, Kory Mathewson, Todd Murphey, Patrick Pilarski SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning
Michael Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel Solving Structured Hierarchical Games Using Differential Backward Induction
Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik Sparse Logits Suffice to Fail Knowledge Distillation
Haoyu Ma, Yifan Huang, Hao Tang, Chenyu You, Deying Kong, Xiaohui Xie Sparsifying the Update Step in Graph Neural Networks
Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis SpeqNets: Sparsity-Aware Permutation-Equivariant Graph Networks
Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh Stackelberg Policy Gradient: Evaluating the Performance of Leaders and Followers
Quoc-Liem Vu, Zane Alumbaugh, Ryan Ching, Quanchen Ding, Arnav Mahajan, Benjamin Chasnov, Sam Burden, Lillian J Ratliff Staged Independent Learning: Towards Decentralized Cooperative Multi-Agent Reinforcement Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar Streaming Inference for Infinite Non-Stationary Clustering
Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila R Fiete Subjective Learning for Conflicting Data
Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Chongkai Gao, Feng Chen Summarizing Societies: Agent Abstraction in Multi-Agent Reinforcement Learning
Amin Memarian, Maximilian Puelma Touzel, Matthew Riemer, Rupali Bhati, Irina Rish SystemMatch: Optimizing Preclinical Drug Models to Human Clinical Outcomes via Generative Latent-Space Matching
Scott Gigante, Varsha G. Raghavan, Amanda M Robinson, Robert A. Barton, Adeeb H. Rahman, Drausin F. Wulsin, Jacques Banchereau, Noam Solomon, Luis F. Voloch, Fabian J Theis TCNSpeech: A Community-Curated Speech Corpus for Sermons
Wuraola Fisayo Oyewusi, Sharon Ibejih, Soromfe Uzomah, Elizabeth Mawutin Joseph, Jon Cynthia, Folakunmi Ojemuyiwa, Benedicta Johnson-Onuigwe, Omolola Taiwo, Akintunde Akinpelumi, Olabisi Adesina, Ayodele Noutouglo, Adeola Adeleke Adeoba, Andrew Akoh, Chukwuemeka Nwachukwu, Opeyemi Agbabiaje, Itunu Falade, Olukemi Erhunmwunsee, Oluwatobiloba Dada, Olúwatóbi David Osibeluwo, Ehis Akene, Udim Akpan, Moira Amadi-Emina, Jaiyeola Marquis, Michael Senapon Bojerenu, Gbolahan Olumade, Oluwagbemi Lesi, Timothy Ezeh, Oluwadamilola Oguntoyinbo, Tosan Mogbeyiteren, Felicia Oresanya, Samuel Chika, Sodiq Akinjobi Teamwork Reinforcement Learning with Concave Utilities
Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp The African Stopwords Project: Curating Stopwords for African Languages
Chris Chinenye Emezue, Hellina Hailu Nigatu, Cynthia Thinwa, Helper Zhou, Shamsuddeen Hassan Muhammad, Lerato Louis, Idris Abdulmumin, Samuel Gbenga Oyerinde, Benjamin Ayoade Ajibade, Olanrewaju Samuel, Emeka Felix Onwuegbuzia, Handel Chiagozie Emezue, Ifeoluwatayo Adeseye Ige, Atnafu Lambebo Tonja, Chiamaka Ijeoma Chukwuneke, Bonaventure F. P. Dossou, Naome A Etori, Chinedu Emmanuel Mbonu, Oreen Yousuf, Kaosarat Boluwatife Aina, Davis David The Good Shepherd: An Oracle Agent for Mechanism Design
Jan Balaguer, Raphael Koster, Christopher Summerfield, Andrea Tacchetti TopTemp: Parsing Precipitate Structure from Temper Topology
Tegan Emerson, Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula Torsional Diffusion for Molecular Conformer Generation
Bowen Jing, Gabriele Corso, Regina Barzilay, Tommi S. Jaakkola Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin True Bilingual NMT
Mohamed Anwar, Lekan Raheem, Maab Elrasheed, Melvin Johnson, Julia Kreutzer Video Diffusion Models
Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet Watts: Infrastructure for Open-Ended Learning
Aaron Dharna, Charlie Summers, Rohin Dasari, Julian Togelius, Amy K Hoover Weakly Supervised Causal Representation Learning
Johann Brehmer, Pim De Haan, Phillip Lippe, Taco Cohen Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings
Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin Yosm: A New Yoruba Sentiment Corpus for Movie Reviews
Iyanuoluwa Shode, David Ifeoluwa Adelani, Anna Feldman Zero-Shot Recommender Systems
Hao Ding, Anoop Deoras, Bernie Wang, Hao Wang Zero-Sum Stochastic Stackelberg Games
Denizalp Goktas, Sadie Zhao, Amy Greenwald