INTERNATIONAL CONFERENCE ON MACHIN… - Form 990 Financial Data

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Financial Vulnerability Assessment (Tuckman-Chang)

4 risk indicators measuring financial stability and operational resilience

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Financial Trends

Organization Details

Formation Year

2018

Legal Domicile

Principal Officer

TERRENCE SEJNOWSKI

Phone

8587616256

Tax Period

2024-01-01 to 2024-12-31

INTERNATIONAL CONFERENCE ON MACHINE LEARNING, founded in 2018, is a community nonprofit in the Science & Technology sector that reported $7.4M in total revenue in fiscal year 2024. Revenue surged 21% from the prior year, signaling strong growth momentum. The organization ran a surplus of $1.7M, a strong 23% operating margin.

Mission

THE INTERNATIONAL CONFERENCE ON MACHINE LEARNING (ICML) IS THE GATHERING OF PROFESSIONALS DEDICATED TO THE ADVANCEMENT OF THE BRANCH OF ARTIFICIAL INTELLIGENCE KNOWN AS MACHINE LEARNING. ICML IS GLOBALLY RECOGNIZED FOR PRESENTING AND PUBLISHING CUTTING-EDGE RESEARCH ON ALL ASPECTS OF MACHINE LEARNING USED IN CLOSELY RELATED AREAS LIKE ARTIFICIAL INTELLIGENCE, STATISTICS AND DATA SCIENCE, AS WELL AS IMPORTANT APPLICATION AREAS SUCH AS MACHINE VISION, COMPUTATIONAL BIOLOGY, SPEECH RECOGNITION, AND ROBOTICS. PARTICIPANTS AT ICML SPAN A WIDE RANGE OF BACKGROUNDS, FROM ACADEMIC AND INDUSTRIAL RESEARCHERS, TO ENTREPRENEURS AND ENGINEERS, TO GRADUATE STUDENTS AND POSTDOCS.

Program Service Accomplishments

Program 1

SEE STATEMENT

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Trantor Score

Financial Health Score (300–850) · Liquidity · Solvency · Sustainability · Efficiency

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Liquidity (40%) • Solvency (30%) • Sustainability (20%) • Efficiency (10%)

Financial Overview (2024)

Revenue Breakdown

Contributions & Grants $2,042,605

Program Service Revenue $5,034,227

Investment Income $311,837

Other Revenue $1,457

TOTAL REVENUE $7,390,126

Expense Breakdown

Grants Paid $0

Salaries & Benefits $0

Fundraising Expenses $0

Program Expenses $5,672,735

Other Expenses $5,720,307

TOTAL EXPENSES $5,720,307

Year-over-Year Comparison

	2024	2023	Change
Revenue	$7,390,126	$6,132,262	+0.2%
Expenses	$5,720,307	$3,684,280	+0.6%
Net Income	$1,669,819	$2,447,982	-0.3%

Key Indicators

✗ Grants to Organizations ✗ Grants to Individuals ✗ Lobbying ✗ Political Activity ✗ Foreign Activities ✗ Donor Advised Fund ✓ Schedule B Required

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Financial Health Indicators

Comprehensive financial analysis: Altman Z-Score, liquidity, solvency, sustainability, efficiency, and growth metrics

Financial Distress Indicator

Liquidity & Cash Position

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Altman Z-Score • Liquidity Ratios • Solvency Analysis • Growth Indicators • Efficiency Metrics

Governance

Voting Members

Independent Members

9000

Employees

N/A

Volunteers

Governance Policies

✗ Conflict of Interest Policy

✗ Whistleblower Policy

✗ Document Retention Policy

Special Practices & Reported Activities

✗ Operated a School

✗ Operated a Hospital

✗ Provided First Class Travel

✗ Reported Conflict of Interest

✗ Reported Asset Diversion

✗ Excess Benefit Transaction

✗ Made Political Expenditures

✗ Engaged in Lobbying

✗ Operated Donor Advised Fund

✗ Maintained Art Collections

✗ Filed Form 720

Compensation of Officers, Directors & Key Employees

Total Officers

Total Directors

Key Employees

Highest Compensated

reported

Name	Title	Hours/Week	Role	Reportable Comp	Other Comp	Total
MARIAN STEWART BARLETT	TREASURER	2.00	Officer Director	$0	$0	$0
MICHAEL MOZER	SECRETARY	5.00	Officer Director	$0	$0	$0
TERRENCE SEJNOWSKI	PRESIDENT	N/A	Officer	$0	$0	$0

Note: Compensation data is self-reported by the organization on their Form 990. "Reportable Comp" includes salary, bonuses, and other reportable compensation from the organization and related organizations. "Other Comp" includes benefits, deferred compensation, and non-taxable benefits.

Historical Data

Year	Revenue	Expenses	Assets	Net Income
2024	$7,390,126	$5,720,307	$7,887,432	$1,669,819
2023	$6,132,262	$3,684,280	$6,170,402	$2,447,982
2022	$3,154,458	$3,570,691	$4,302,546	$-416,233
2021	$878,460	$827,606	$4,738,335	$50,854
2020	$3,258,665	$583,891	$4,684,060	$2,674,774
2019	$4,683,617	$4,192,717	$1,884,804	$490,900

INTERNATIONAL CONFERENCE ON MACHINE LEARNING