{"total":64,"rows":[{"id":"2204.08442","title":"Deep Equilibrium Optical Flow Estimation","created":"2022-04-18","cited_by_count":64,"area":null},{"id":"2210.08990","title":"Improving Object-centric Learning with Query Optimization","created":"2022-10-17","cited_by_count":60,"area":null},{"id":"2210.04195","title":"Online Training Through Time for Spiking Neural Networks","created":"2022-10-09","cited_by_count":49,"area":null},{"id":"2506.05233","title":"MesaNet: Sequence Modeling by Locally Optimal Test-Time Training","created":"2025-06-05","cited_by_count":47,"area":null},{"id":"2207.00787","title":"Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation","created":"2022-07-02","cited_by_count":46,"area":null},{"id":"2211.09961","title":"Path Independent Equilibrium Models Can Better Exploit Test-Time Computation","created":"2022-11-18","cited_by_count":38,"area":null},{"id":"2304.07939","title":"Leveraging sparse and shared feature activations for disentangled representation learning","created":"2023-04-17","cited_by_count":32,"area":null},{"id":"2206.14418","title":"Optimization-Induced Graph Implicit Nonlinear Diffusion","created":"2022-06-29","cited_by_count":28,"area":null},{"id":"2305.13768","title":"One-step differentiation of iterative algorithms","created":"2023-05-23","cited_by_count":28,"area":null},{"id":"2606.18206","title":"Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers","created":"2026-06-16","cited_by_count":28,"area":null},{"id":"2304.00600","title":"Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models","created":"2023-04-02","cited_by_count":27,"area":null},{"id":"2207.06095","title":"Eliminating Gradient Conflict in Reference-based Line-Art Colorization","created":"2022-07-13","cited_by_count":25,"area":null},{"id":"2210.01802","title":"Alternating Differentiation for Optimization Layers","created":"2022-10-03","cited_by_count":22,"area":null},{"id":"2310.18605","title":"TorchDEQ: A Library for Deep Equilibrium Models","created":"2023-10-28","cited_by_count":21,"area":null},{"id":"2210.08353","title":"MGNNI: Multiscale Graph Neural Networks with Implicit Layers","created":"2022-10-15","cited_by_count":19,"area":null},{"id":"2312.00234","title":"Deep Equilibrium Based Neural Operators for Steady-State PDEs","created":"2023-11-30","cited_by_count":19,"area":null},{"id":"2204.14174","title":"Explainable AI via Learning to Optimize","created":"2022-04-29","cited_by_count":14,"area":null},{"id":"2306.01429","title":"A Closer Look at the Adversarial Robustness of Deep Equilibrium Models","created":"2023-06-02","cited_by_count":13,"area":null},{"id":"2301.13395","title":"Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting","created":"2023-01-31","cited_by_count":11,"area":null},{"id":"2308.09564","title":"Deep Equilibrium Object Detection","created":"2023-08-18","cited_by_count":10,"area":null},{"id":"2410.06324","title":"Differentiation Through Black-Box Quadratic Programming Solvers","created":"2024-10-08","cited_by_count":10,"area":null},{"id":"2402.04029","title":"Positive concave deep equilibrium models","created":"2024-02-06","cited_by_count":7,"area":null},{"id":"2303.17824","title":"Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets","created":"2023-03-31","cited_by_count":6,"area":null},{"id":"2407.05920","title":"LPGD: A General Framework for Backpropagation through Embedded Optimization Layers","created":"2024-07-08","cited_by_count":6,"area":null},{"id":"2201.06931","title":"Deep Equilibrium Models for Video Snapshot Compressive Imaging","created":"2022-01-18","cited_by_count":5,"area":null},{"id":"2406.07361","title":"Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration","created":"2024-06-11","cited_by_count":5,"area":null},{"id":"2509.12917","title":"Reversible Deep Equilibrium Models","created":"2025-09-16","cited_by_count":5,"area":null},{"id":"2410.01440","title":"Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2503.01140","title":"DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows","created":"2025-03-03","cited_by_count":4,"area":null},{"id":"2406.17894","title":"Efficient and Effective Implicit Dynamic Graph Neural Network","created":"2024-06-25","cited_by_count":3,"area":null},{"id":"2410.08524","title":"IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks","created":"2024-10-11","cited_by_count":3,"area":null},{"id":"2410.23391","title":"Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective","created":"2024-10-30","cited_by_count":3,"area":null},{"id":"2502.19611","title":"PRDP: Progressively Refined Differentiable Physics","created":"2025-02-26","cited_by_count":3,"area":null},{"id":"2508.20650","title":"Self-composing neural operators for high-frequency and multiscale PDE surrogates","created":"2025-08-28","cited_by_count":3,"area":null},{"id":"2509.08734","title":"DEQuify your force field: More efficient simulations using deep equilibrium models","created":"2025-09-10","cited_by_count":3,"area":null},{"id":"2510.00359","title":"End-to-End Training of High-Dimensional Optimal Control with Implicit Hamiltonians via Jacobian-Free Backpropagation","created":"2025-10-01","cited_by_count":3,"area":null},{"id":"2304.11663","title":"Efficient Training of Deep Equilibrium Models","created":"2023-04-23","cited_by_count":2,"area":null},{"id":"2306.01435","title":"Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics","created":"2023-06-02","cited_by_count":2,"area":null},{"id":"2503.17269","title":"Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models","created":"2025-03-21","cited_by_count":2,"area":null},{"id":"2507.00582","title":"Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models","created":"2025-07-01","cited_by_count":2,"area":null},{"id":"2602.03024","title":"Consistency Deep Equilibrium Models","created":"2026-02-03","cited_by_count":2,"area":null},{"id":"2209.09389","title":"State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks","created":"2022-09-19","cited_by_count":1,"area":null},{"id":"2310.02772","title":"Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks","created":"2023-10-04","cited_by_count":1,"area":null},{"id":"2505.22509","title":"Accelerating Optimization via Differentiable Stopping Time","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2602.03297","title":"Lipschitz Multiscale Deep Equilibrium Models: A Theoretically Guaranteed and Accelerated Approach","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2605.07277","title":"Bifurcation Models: Learning Set-Valued Solution Maps with Weight-Tied Dynamics","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2608.10234","title":"The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics","created":"2026-08-10","cited_by_count":1,"area":null},{"id":"2608.23725","title":"Response Renormalization for Critical Deep Equilibrium Models","created":"2026-08-24","cited_by_count":1,"area":null},{"id":"2204.13492","title":"Representation Recycling for Streaming Video Analysis","created":"2022-04-28","cited_by_count":0,"area":null},{"id":"2307.08013","title":"Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks","created":"2023-07-16","cited_by_count":0,"area":null},{"id":"2402.02065","title":"Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation","created":"2024-02-03","cited_by_count":0,"area":null},{"id":"2407.14430","title":"The Extrapolation Power of Implicit Models","created":"2024-07-19","cited_by_count":0,"area":null},{"id":"2407.19724","title":"Constructing artificial life and materials scientists with accelerated AI using Deep AndersoNN","created":"2024-07-29","cited_by_count":0,"area":null},{"id":"2410.02158","title":"SCNode: Spatial and Contextual Coordinates for Graph Representation Learning","created":"2024-10-03","cited_by_count":0,"area":null},{"id":"2410.19460","title":"Accelerating AI Performance using Anderson Extrapolation on GPUs","created":"2024-10-25","cited_by_count":0,"area":null},{"id":"2411.18432","title":"SPO-VCS: An End-to-End Smart Predict-then-Optimize Framework with Alternating Differentiation Method for Relocation Problems in Large-Scale Vehicle Crowd Sensing","created":"2024-11-27","cited_by_count":0,"area":null},{"id":"2507.13569","title":"Change of Thought: Adaptive Test-Time Computation","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2508.14101","title":"Implicit Hypergraph Neural Network","created":"2025-08-16","cited_by_count":0,"area":null},{"id":"2508.15553","title":"Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising","created":"2025-08-21","cited_by_count":0,"area":null},{"id":"2509.24919","title":"Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2605.01220","title":"Visual Implicit Autoregressive Modeling","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2609.36108","title":"LoopICL: Looping a single transformer block to solve tabular tasks","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.39456","title":"Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.03626","title":"Depth as Time in One-Step Generative Models","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}