Mon Jul 6
Expo / Tutorial Day
10개 튜토리얼 + Expo talks. 첫날은 학습/오리엔테이션 밀도.
한 줄로 말하면
ICML은 “논문 시장 + 연구자 올림픽 + 주제별 살롱”이다. 본 컨퍼런스는 July 7–9이고, 네트워킹/트렌드 관측은 workshops와 poster/hallway track에서 가장 진하게 일어난다.
6invited talks
10tutorials on Jul 6
44workshops on Jul 10–11
6,639poster links in official papers page
Tue–Thu Jul 7–9
Main Conference
초청강연, papers/posters/orals, expo, hallway networking. 공식 paper page 기준 poster 링크 6,639개.
Fri–Sat Jul 10–11
Workshops
44개 워크샵. 주제별 mini-conference라서 사람/트렌드 탐색은 여기가 가장 좋음.
누구에게 어떤 의미인가
공식 메뉴 순서가 아니라 실제 의사결정 기준으로 재배열했다.
먼저 week structure를 잡고, 가능한 티켓부터 확인
Main/Tutorial은 sold out 상태라 현장 참가를 노린다면 workshop 등록/author reserved slot/공식 업데이트를 우선 봐야 한다. Virtual Pass는 livestream + chat 접근용.
WiFi가 불안정할 수 있으므로 앱/스케줄을 미리 저장하라는 공식 caveat가 있다.
Poster와 workshop이 실전 레이어
초청강연은 방향성, poster/oral은 논문 탐색, workshop은 주제별 사람 밀집이다. accepted paper author 미등록분은 reserve로 별도 안내되었다.
서울에서 만나는 세계 ML 밀도
Workshop 후반부와 side-event 시간대가 가장 중요하다. Agentic AI, LLM post-training, safety/alignment, robotics, biology/health 쪽 관심이 높다.
리크루팅은 career site + sponsor/expo + hallway
Career site는 열려 있고, sponsor/expo registration/complimentary slot 이슈가 공지에 나온다. 물리 티켓 sold-out 때문에 미팅 설계가 더 중요해진다.
등록 / 물리 제약
Tutorial + Main Conference registrations are sold out; Workshops and Virtual Pass remain selectable in the registration form as of lookup.
공식 등록 페이지 근거(Sold Out): Tutorials (Sold Out): Conference Workshops Virtual Pass
Refund
Cancellation deadline: Jun 15, 2026
기한 전 취소는 full refund, 이후 취소/환불 불가. Visa denied/no response 케이스는 별도 조건.
Logistics
WiFi / app / local schedule
공식 업데이트에서 crowded areas 특히 plenary hall의 degraded/unreliable internet 가능성을 명시. 앱/일정 로컬 저장 권장.
Invited talks
컨퍼런스 전체 방향성을 보여주는 keynote급 레이어. 공식 virtual program 기준 6개.
Jul 7, 8:30 AM - 9:30 AM · HALL C
Towards AI Agents In the Real World
Recent advances in AI agents have been driven by imitation learning with reinforcement learning in the digital world, based on large scale generative models, yielding strong performance in many online tasks but limited capability in physical world settings. I…
official event ↗Jul 7, 4:00 PM - 5:00 PM · HALL C
Causal Inference with Transformer Models
How do we answer causal questions about sequence data such as text, career job sequences, or customer journeys? This talk will consider methods for estimating average treatment effects, conditional average treatment effects, and decompositions of differences a…
official event ↗Jul 8, 8:30 AM - 9:30 AM · HALL C
How Far Can Quadratics Take Us? Lessons for LLM Pretraining
Modern large language model pretraining is governed by complex heuristics — from cosine learning-rate decay to batch-size scheduling. Yet, a growing body of work suggests that an analytically simple quadratic model can accurately predict much of this large-sca…
official event ↗Jul 8, 1:30 PM - 2:30 PM · HALL C
Lab-in-the-Loop for Drug R&D with AI
Making effective medicines is challenging: more than 90 percent of drug candidates fail in pre-clinical research or clinical trials. A major contributor to this low success rate is the enormous space of biological and therapeutic possibilities. In the underlyi…
official event ↗Jul 9, 8:30 AM - 9:30 AM · HALL C
Normative alignment: A new paradigm for principled autonomous agents
How can agents make safe autonomous decisions in complex dynamic environments? While significant progress has been made in establishing safety guardrails to enforce compliance in generative models, these negative constraints often prove brittle in open-world e…
official event ↗Jul 9, 1:30 PM - 2:30 PM · HALL C
What will be left for us to work on?
Given rapid advances in AI, how should researchers and developers shift how we allocate our time? What new skills should we build so that we’re not obsolete in the future? I argue that there will be plenty for us to work on, grounded in the “AI as normal techn…
official event ↗Tutorials
모든 튜토리얼은 Monday July 6. 공식 블로그 기준 invited 3개 + selected 7개 = 10개.
Invited tutorial · July 6
Is numerical optimization theory irrelevant to machine learning practice in 2026?
Invited tutorial · July 6
Probabilistic Numerics — Computation is Machine Learning
Invited tutorial · July 6
Calibration: From Predictions to Decisions, Collaboration, and Alignment
Selected tutorial · July 6
Proving Theorems with Lean and Machine Learning
Selected tutorial · July 6
Evaluating and Training LLMs for Math Copilots and Theorem Proving
Selected tutorial · July 6
Adaptive Reasoning in LLMs: From Post-Training to Test-Time Learning
Selected tutorial · July 6
New Techniques for Sequence Prediction: Spectral Filtering and Preconditioning
Selected tutorial · July 6
Unifying Attention and Diffusion with Kan Extension Transformers: Structured Deep Learning with Diagrammatic Backpropagation
Selected tutorial · July 6
Unlearning Data at Scale
Selected tutorial · July 6
Diffusion and Flow-Matching: From Memorization to Generalization & Beyond
Workshops directory
공식 virtual program에서 가져온 44개 워크샵. 제목/주최자/시간/룸으로 검색 가능.
Jul 10, 8:00 AM - 5:00 PM · ASEM Ballroom 201
SCALE: SCALABLE LEARNING AND OPTIMIZATION FOR EFFICIENT MULTIMODAL AI AGENTS
This workshop seeks to bring together researchers from diverse background to explore (but not limited to) emerging topics in, a) multi-modal agentic learning: learning algorithms, pipelines, and architectures for multimodal agents, spanning…
official event ↗Jul 10, 8:00 AM - 5:00 PM · ASEM Ballroom 203
Second Workshop of AI4NextG: AI and ML for Next-Generation Wireless
The Second Workshop on AI4NextG: AI and ML for Next-Generation Wireless at ICML 2026 aims to bridge the significant and urgent gap between AI/ML research and real-world wireless system development, particularly as NextG (e.g., 6G) standardi…
official event ↗Jul 10, 8:00 AM - 5:00 PM · GRAND BALLROOM 101-102
RLxF: RL from World Feedback
This workshop explores a shift beyond human preference signals by treating world feedback 🌍 —measurable signals from real-world interactions such as efficiency, safety, health, performance, and economic outcomes—as a first-class training si…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM S300
AI for Law Workshop
Recent advances in machine learning have substantially improved general-purpose reasoning, multimodal understanding, and test-time scaling. Yet law remains a uniquely demanding and high-stakes domain that exposes the limits of generic AI pr…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM S327
Continual Adaptation at Scale: Towards Sustainable AI
Training Foundation Models (FMs) is currently so costly that only few can afford it. The immense data, compute, and energy demands are increasingly unsustainable. Continual adaptation offers a viable alternative, where AI models can learn q…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM S318
Foundations of Deep Generative Models: Understanding Memorization, Generalization, and Reasoning
Recently, diffusion models, flow-based models, and autoregressive language models have emerged as a powerful class of deep generative models (DGMs) with remarkable generation capabilities across a wide range of applications, including image…
official event ↗Jul 10, 8:00 AM - 5:00 PM · AUDITORIUM
AI as a Tool for Mathematics, Computer Science, and Machine Learning
Modern AI systems increasingly assist researchers with coding, exposition, and fragments of mathematical reasoning, yet turning these capabilities into dependable research progress remains nontrivial. This workshop focuses on AI as a practi…
official event ↗Jul 10, 8:00 AM - 5:00 PM · GRAND BALLROOM 104-105
Failure Modes in Agentic AI: Reproducible Triggers, Trace Diagnostics, and Verified Fixes
Foundation-model agents increasingly run in **closed-loop** with tools, memory, and multi-step action. This *long-horizon interaction* exposes failures that single-turn evaluation often misses: error cascades over trajectories, brittle tool…
official event ↗Jul 10, 8:00 AM - 5:00 PM · GRAND BALLROOM 103
Trustworthy AI for Good Workshop
Agentic AI systems increasingly shape how billions of people engage with public institutions, civic discourse, and society at large. While many effort has been focusing on making models safer in avoiding harmful output, it's more important…
official event ↗Jul 10, 8:00 AM - 5:00 PM · HALL C
Workshop on Mechanistic Interpretability
We propose a third Workshop on Mechanistic Interpretability – the study of how neural networks function – following highly successful workshops at ICML 2024 and NeurIPS 2025, the latter which attracted over 600 attendees. Mechanistic Interp…
official event ↗Jul 10, 8:00 AM - 5:00 PM · HALL D2
Generative and Agentic AI for Biology
The 2024 Nobel Prize in Chemistry, awarded for AI-based protein structure prediction and protein design, underscored the transformative impact of machine learning on the life sciences. Generative AI models, including large language models,…
official event ↗Jul 10, 8:00 AM - 5:00 PM · ASEM Ballroom 202
Learning to Listen: ICML 2026 Workshop on Machine Learning for Audio
Machine learning for audio has seen heightened interest over the past year, driven by audio language models and multimodal/foundation models for understanding and generating speech, music, and audio events, as well as rising demand for low-…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM S401
Combining Theory and Benchmarks: Towards A Virtuous Cycle to Understand and Guarantee Foundation Model Performance
Benchmarks such as HELM [1] and Big-Bench [2] have significantly advanced quantitative model evaluation. However, current practice remains largely empirical and while measuring performance, does not provide guarantees on what capabilities a…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM S308
Graph Foundation Models: A New Era for Graph Machine Learning
Graph-structured data are ubiquitous across science and industry, yet today’s graph machine learning (GML) pipelines remain largely task- and dataset-specific, limiting robustness and transferability. This workshop brings together researche…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM S403
Workshop on Weight-Space Symmetries: from Foundations to Practical Applications
Neural networks are highly over-parameterized models whose weight spaces exhibit rich symmetries, for example, neuron permutations. These symmetries create large equivalence classes of functionally identical solutions and have profound impl…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM E1 - E4
High Dimensional Learning Dynamics: the Science of Scaling
Scaling laws -- precise power-law relationships between model performance and resources (parameters, data, compute) -- have become the central organizing principle of modern large-model training. Yet the theoretical foundations of scaling r…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM S317
Second Workshop on Technical AI Governance Research
We propose an ICML workshop on Technical AI Governance Research (TAIGR). TAIGR encompasses technical analysis and tools that support the effective governance of AI, such as evaluations, safeguards, and access controls. Despite increasing in…
official event ↗Jul 10, 8:00 AM - 5:00 PM · HALL B2
Deep Learning for Code: Towards Human-Centered Coding Agents
AI coding agents have rapidly improved in their ability to perform complex software engineering tasks autonomously. However, as these systems advance, the main bottleneck to real-world usefulness is shifting from task-solving capability to…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM S307
Culture x AI: Evaluating AI as a Cultural Technology
Generative AI is increasingly recognised as a social and cultural technology. These systems process an enormous amount of social data to produce novel cultural artefacts, such as text, images, and videos. While much progress has been made i…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM E5 - E6
The 2nd Workshop on Epistemic Intelligence in Machine Learning: Learning under Unknown Unknowns for Real-world Impact
Machine learning systems are increasingly deployed in open-ended and high-stakes environments, where distribution shift, adversarial manipulation, hallucinations, safety risks, and misalignment reveal fundamental limits of learning under in…
official event ↗Jul 10, 8:00 AM - 5:00 PM · CONF ROOM S402
From Frames to Stories (F2S): Toward Reliable, Controllable and Trustworthy Long-Horizon Video Generation
Video generation has advanced rapidly for short clips, but minutes-long, multi-shot generation remains unreliable due to compounding errors, identity drift, and weak long-range coherence. Long-horizon video therefore provides a demanding te…
official event ↗Jul 10, 8:00 AM - 5:00 PM · HALL D1
4th Structured Probabilistic Inference & Generative Modeling
Probabilistic approaches have been one of the core engines of machine learning for decades: they provide a language for uncertainty, latent structure, and decision-making under incomplete information or noisy observations. In parallel, gene…
official event ↗Jul 11, 8:00 AM - 5:00 PM · HALL D1
3rd AI for Math Workshop: Toward Self-Evolving Scientific Agents
Mathematics has long served as a foundation for scientific discovery and a benchmark for reasoning systems. Recent advances in LLMs and formal methods have enabled AI agents to achieve IMO-level performance in theorem proving and demonstrat…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM S307
New Frontiers in Game-Theoretic Learning
As Artificial Intelligence systems are increasingly deployed in high-impact, mixed-motive ecosystems, we are witnessing a paradigm shift from monolithic reasoning to strategic agency. However, a critical "translation gap" exists between cla…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM S402
AI4Physics: An ICML 2026 Workshop on AI for Physics
AI is rapidly reshaping physics research, but progress is often fragmented across subfields and stages of the scientific workflow. This workshop, AI4Physics at ICML 2026, will bring together machine learning researchers and physicists to de…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM S327
The 2nd Workshop on Connecting Low-rank Representations in AI: From Practice to Theory
Structured low-rank representations constitute a unifying foundation across modern machine learning, powering advancements in domains as diverse as Large Language Models, probabilistic circuits, and quantum simulation. Despite sharing a com…
official event ↗Jul 11, 8:00 AM - 5:00 PM · HALL B2
The Second Workshop on Agents in the Wild: Safety, Security, and Beyond
The year 2025 was recognized as the year of the agent, with advances in AI agents that can perceive, reason, and act in complex real-world environments. For example, OpenAI's Operator can interact with a browser to take actions on the web t…
official event ↗Jul 11, 8:00 AM - 5:00 PM · ASEM Ballroom 203
Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning
Join us for an insightful workshop on decision-making from offline datasets to online adaptation in various settings including black-box optimization, contextual bandits, RL, and synergies between them. Dive into their use in application do…
official event ↗Jul 11, 8:00 AM - 5:00 PM · GRAND BALLROOM 101-102
Planning in The Era of Language Models (LM4Plan)
Language Models (LMs) are a disruptive force, changing how research was done in many subareas of AI. Planning is one of the last bastions that remain standing. The focus of this workshop is on the questions in the intersection of these area…
official event ↗Jul 11, 8:00 AM - 5:00 PM · GRAND BALLROOM 104-105
Forecasting as a New Frontier of Intelligence
Forecasting has a rich literature in machine learning (ML), ranging from classical time-series analysis, to significant recent interest from both ML theory (e.g., forecasting and calibration) and applied ML research (e.g., benchmarking and…
official event ↗Jul 11, 8:00 AM - 5:00 PM · HALL D2
Structured Data for Health
Structured data is the backbone of modern healthcare, encompassing tabular Electronic Health Records (EHRs), high-frequency time-series biosignals, and complex disease networks. Despite the critical need for holistic patient modeling, resea…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM S403
Second Pluralistic Alignment Workshop
Aligning AI systems with human preferences and societal values has become a critical challenge as these technologies grow more powerful and pervasive. However, current AI alignment methods have proven insufficient for capturing the full spe…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM S308
Philosophy Meets Machine Learning: What Counts as Trustworthy?
Philosophers have long thought deeply about many concepts that are used colloquially in the machine learning (ML) community such as epistemology, counterfactuals, explainability, reliability, uncertainty and causality. As ML systems are now…
official event ↗Jul 11, 8:00 AM - 5:00 PM · ASEM Ballroom 202
AdaptFM: Resource-Adaptive Foundation Model Inference
Foundation models (FMs) have achieved remarkable capabilities across language, vision, and multimodal tasks. However, their inference typically follows a rigid, one-size-fits-all paradigm where every input, regardless of complexity, passes…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM S300
Game Theory in Nature: From Optimality to Equilibrium
This workshop explores nature as a massive distributed learning system to bridge the gap between biological adaptation and multi-agent machine learning. While modern AI often relies on centralized optimization and global objectives, natural…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM S401
Workshop on Human-AI Co-Creativity: Advances, Opportunities, and Challenges
This workshop will bring together researchers and practitioners interested in topics of generative AI, creativity, and human-AI co-creation. On the one hand, we will explore opportunities in how recent advances in generative AI can support…
official event ↗Jul 11, 8:00 AM - 5:00 PM · ASEM Ballroom 201
Efficient Multimodal Question Answering
Efficient multimodal question answering is becoming increasingly important as large language models expand into real-world settings where users rely on systems that must operate under constraints of latency, cost, connectivity, and device r…
official event ↗Jul 11, 8:00 AM - 5:00 PM · GRAND BALLROOM 103
Foundation Models for Structured Data (FMSD @ ICML 2026)
Structured data (tabular and time-series) underpins high-impact applications across finance, healthcare, enterprise decision-making, and climate modeling. Over the past two years, predictive foundation models tailored to structured data hav…
official event ↗Jul 11, 8:00 AM - 5:00 PM · HALL C
AI for Science: AI Scientists -- Tools, Co-authors, or Founders?
We have crossed an inflection point: AI has moved from passive tool to active agent that closes the loop on hypothesis generation, experimental design, and execution. Nations and corporations are investing at unprecedented scale, e.g., the…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM E5 - E6
The Second Workshop on the Impact of Memorization on Trustworthy Foundation Models
Foundation models underpin many critical applications, such as healthcare, public safety, and education. Ensuring their trustworthiness is, therefore, more important than ever. However, recent research has revealed that foundation models ar…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM E1 - E4
Statistical Frameworks for Uncertainty in Agentic Systems
Long-horizon agentic workloads mark a shift into a regime where declarative systems adaptively build larger declarative systems. In this setting, uncertainty quantification must address not only output-level error but also the risks of adap…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM S318
ICML 2026 Hypothesis Testing Workshop
Hypothesis testing, while much-maligned, remains a key component of scientific practice. Machine learning contributes to helping develop testing methodology, with many key advances in testing coming from the ML community, from widely used n…
official event ↗Jul 11, 8:00 AM - 5:00 PM · AUDITORIUM
2nd Workshop on Compositional Learning: Safety, Interpretability, and Agents
Compositionality, defined as the ability to construct and reason about complex concepts from reusable components, is a hallmark of human cognition and the key to robust generalization. Despite the astonishing progress of modern AI systems,…
official event ↗Jul 11, 8:00 AM - 5:00 PM · CONF ROOM S317
3rd Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences
Recent advances in foundation models and large language models (LLMs) have revolutionized life sciences by enabling AI-driven insights into complex biological systems. However, most existing models focus on single-modal data, limiting their…
official event ↗Policies / logistics
LLM reviewing
Policy A / Policy B
Policy A는 reviewing 중 LLM 사용 금지. Policy B는 privacy-compliant LLM을 이해/related works/polishing에는 허용하되 판단·강약점·outline/full review·author questions 위임은 금지.
Visa
Visa letter는 ICML site에서만
ICML은 US-based nonprofit이며 South Korean business registration certificate를 제공하지 못한다고 명시. 비자 필요 여부는 공식 링크로 확인.
Hotel
공식 group pricing 호텔 링크
ICML이 Seoul 호텔 객실을 group pricing으로 계약. 다른 채널 예약을 피하라고 공지.
Source caveat
Blog DNS caveat
이 빌드 머신의 terminal DNS는 blog.icml.cc를 못 풀었지만, browser verification으로 공식 블로그 내용을 확인했고 페이지에는 canonical URL을 보존했다.
Official links
최신성 때문에 최종 등록/가격/룸/시간은 아래 공식 링크에서 다시 확인해야 한다.
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Tutorial Bloghttps://blog.icml.cc/2026/04/02/announcing-the-icml-2026-tutorials/
Workshop Bloghttps://blog.icml.cc/2026/04/06/announcing-the-icml-2026-workshops-and-affinity-workshops/
Invited Bloghttps://blog.icml.cc/2026/05/18/announcing-the-icml-2026-invited-talks/
Registration Bloghttps://blog.icml.cc/2026/05/24/icml-2026-registration-update-capacity-limits-and-what-attendees-need-to-know/